/*************************************************************\ | Copyright (C) 2011 by SAS Institute Inc., Cary, NC, USA. | | | | SAS (R) is a registered trademark of SAS Institute Inc. | | | | This program sets up practice data for the SAS e-course | | ECST192. | \*************************************************************/ options nosource nonotes; options nocardimage validvarname=V7 replace ls=200; %let location=statdata; data _null_; /* determine fileref paths, delimiters, file options */ length fileno fileyes $18 fileset $ 1024; oshost=trim(substr(symget('sysscp'),1,2)); filepath=trim(pathname("&location")); if (oshost = "OS") and (length(symget('sysscp'))=2) then do; filepath=scan(filepath,1); dlm="."; fileno="disp=(new,catlg)"; fileyes="disp=(old,catlg)"; end; else do; host=trim(substr(symget('sysscp'),1,3)); if (host in ('WIN','OS2')) then do; filepath=trim(pathname("&location")); dlm="\"; fileno=""; fileyes=""; end; else do; filepath=trim(pathname("&location")); dlm="/"; fileno=""; fileyes=""; end; end; call symputx("filemac",filepath); if (oshost = "OS") and (length(symget('sysscp'))=2) then call symputx("sasmac","Your SAS library path for z/OS: " || trim(pathname("&location"))); else call symputx("sasmac",""); run; /* create formats */ proc format library=library; value purfmt 1 = "$100 +" 0 = "< $100"; value incfmt 1='Low Income' 2='Medium Income' 3='High Income'; value safefmt 0='Average or Above' 1='Below Average'; value sizefmt 1='Small' 2='Medium' 3='Large'; value vstfmt 0='staff only' 1='physician'; value spcfmt 1='oncologist' 2='internal med' 3='family prac' 4='pulmonolgist' 5='other special'; run; data statdata.testscores; input Gender $ 1-6 SATScore 8-11 IDNumber 13-20; datalines; Male 1170 61469897 Female 1090 33081197 Male 1240 68137597 Female 1000 37070397 Male 1210 64608797 Female 970 60714297 Male 1020 16907997 Female 1490 9589297 Male 1200 93891897 Female 1260 85859397 Male 1150 38152597 Female 1390 99108497 Male 1240 59666697 Female 1370 70847197 Male 1140 47613397 Female 1160 53750297 Male 1050 95948597 Female 1110 3873197 Male 1100 25756097 Female 1080 43493297 Male 1120 27543197 Female 1080 26212897 Male 1050 8945097 Female 1200 51799397 Male 1600 39196697 Female 1100 48154497 Male 1050 55189597 Female 1060 46028397 Male 1140 75332897 Female 1100 29520797 Male 1340 55983497 Female 1240 93236497 Male 1090 6975697 Female 1180 29686297 Male 1170 76815697 Female 1130 64045497 Male 1290 9880297 Female 1380 23048597 Male 1010 76058697 Female 1280 42586897 Male 1050 62688897 Female 1520 73461797 Male 1360 44327297 Female 1260 2854197 Male 1290 42401697 Female 1070 51266697 Male 1260 61195297 Female 1350 71681397 Male 1140 43230697 Female 1330 6520097 Male 990 61728297 Female 1300 64179097 Male 1150 20494697 Female 1520 40177297 Male 1200 43183797 Female 1120 47146397 Male 1020 60633297 Female 1250 72168497 Male 1330 98377897 Female 1170 20745097 Male 1110 91775997 Female 1230 82634897 Male 1310 73772397 Female 1270 20755897 Male 1210 57288097 Female 1120 55860697 Male 1200 65246997 Female 1380 81994397 Male 890 76526697 Female 1590 23573597 Male 1110 61160997 Female 1150 23359697 Male 1280 19108097 Female 910 30834797 Male 1060 46806897 Female 1270 62919297 Male 1020 37534197 Female 1300 4440297 Male 1050 2012997 Female 1060 59149297 ; run; data statdata.fitness; input @1 Name $8. @10 Gender $1. @12 RunTime 5.2 @18 Age 2. @21 Weight 5.2 @27 Oxygen_Consumption 5.2 @33 Run_Pulse 3. @37 Rest_Pulse 2. @40 Maximum_Pulse 3.; Performance=260-round(10*runtime + 2*age + 4*(Gender='F')); datalines; Donna F 8.17 42 68.15 59.57 166 40 172 Gracie F 8.63 38 81.87 60.06 170 48 186 Luanne F 8.65 43 85.84 54.30 156 45 168 Mimi F 8.92 50 70.87 54.63 146 48 155 Chris M 8.95 49 81.42 49.16 180 44 185 Allen M 9.22 38 89.02 49.87 178 55 180 Nancy F 9.40 49 76.32 48.67 186 56 188 Patty F 9.63 52 76.32 45.44 164 48 166 Suzanne F 9.93 57 59.08 50.55 148 49 155 Teresa F 10.00 51 77.91 46.67 162 48 168 Bob M 10.07 40 75.07 45.31 185 62 185 Harriett F 10.08 49 73.37 50.39 168 67 168 Jane F 10.13 44 73.03 50.54 168 45 168 Harold M 10.25 48 91.63 46.77 162 48 164 Sammy M 10.33 54 83.12 51.85 166 50 170 Buffy F 10.47 52 73.71 45.79 186 59 188 Trent M 10.50 52 82.78 47.47 170 53 172 Jackie F 10.60 47 79.15 47.27 162 47 164 Ralph M 10.85 43 81.19 49.09 162 64 170 Jack M 10.95 51 69.63 40.84 168 57 172 Annie F 11.08 51 67.25 45.12 172 48 172 Kate F 11.12 45 66.45 44.75 176 51 176 Carl M 11.17 54 79.38 46.08 156 62 165 Don M 11.37 44 89.47 44.61 178 62 182 Effie F 11.50 48 61.24 47.92 170 52 176 George M 11.63 47 77.45 44.81 176 58 176 Iris F 11.95 40 75.98 45.68 176 70 180 Mark M 12.63 57 73.37 39.41 174 58 176 Steve M 12.88 54 91.63 39.20 168 44 172 Vaughn M 13.08 44 81.42 39.44 174 63 176 William M 14.03 45 87.66 37.39 186 56 192 ; run; data statdata.NormTemp; input @1 ID 3. @5 BodyTemp 5.1 @11 Gender $6. @18 HeartRate 3.; datalines; 1 96.3 Male 70 2 96.7 Male 71 3 96.9 Male 74 4 97.0 Male 80 5 97.1 Male 73 6 97.1 Male 75 7 97.1 Male 82 8 97.2 Male 64 9 97.3 Male 69 10 97.4 Male 70 11 97.4 Male 68 12 97.4 Male 72 13 97.4 Male 78 14 97.5 Male 70 15 97.5 Male 75 16 97.6 Male 74 17 97.6 Male 69 18 97.6 Male 73 19 97.7 Male 77 20 97.8 Male 58 21 97.8 Male 73 22 97.8 Male 65 23 97.8 Male 74 24 97.9 Male 76 25 97.9 Male 72 26 98.0 Male 78 27 98.0 Male 71 28 98.0 Male 74 29 98.0 Male 67 30 98.0 Male 64 31 98.0 Male 78 32 98.1 Male 73 33 98.1 Male 67 34 98.2 Male 66 35 98.2 Male 64 36 98.2 Male 71 37 98.2 Male 72 38 98.3 Male 86 39 98.3 Male 72 40 98.4 Male 68 41 98.4 Male 70 42 98.4 Male 82 43 98.4 Male 84 44 98.5 Male 68 45 98.5 Male 71 46 98.6 Male 77 47 98.6 Male 78 48 98.6 Male 83 49 98.6 Male 66 50 98.6 Male 70 51 98.6 Male 82 52 98.7 Male 73 53 98.7 Male 78 54 98.8 Male 78 55 98.8 Male 81 56 98.8 Male 78 57 98.9 Male 80 58 99.0 Male 75 59 99.0 Male 79 60 99.0 Male 81 61 99.1 Male 71 62 99.2 Male 83 63 99.3 Male 63 64 99.4 Male 70 65 99.5 Male 75 66 96.4 Female 69 67 96.7 Female 62 68 96.8 Female 75 69 97.2 Female 66 70 97.2 Female 68 71 97.4 Female 57 72 97.6 Female 61 73 97.7 Female 84 74 97.7 Female 61 75 97.8 Female 77 76 97.8 Female 62 77 97.8 Female 71 78 97.9 Female 68 79 97.9 Female 69 80 97.9 Female 79 81 98.0 Female 76 82 98.0 Female 87 83 98.0 Female 78 84 98.0 Female 73 85 98.0 Female 89 86 98.1 Female 81 87 98.2 Female 73 88 98.2 Female 64 89 98.2 Female 65 90 98.2 Female 73 91 98.2 Female 69 92 98.2 Female 57 93 98.3 Female 79 94 98.3 Female 78 95 98.3 Female 80 96 98.4 Female 79 97 98.4 Female 81 98 98.4 Female 73 99 98.4 Female 74 100 98.4 Female 84 101 98.5 Female 83 102 98.6 Female 82 103 98.6 Female 85 104 98.6 Female 86 105 98.6 Female 77 106 98.7 Female 72 107 98.7 Female 79 108 98.7 Female 59 109 98.7 Female 64 110 98.7 Female 65 111 98.7 Female 82 112 98.8 Female 64 113 98.8 Female 70 114 98.8 Female 83 115 98.8 Female 89 116 98.8 Female 69 117 98.8 Female 73 118 98.8 Female 84 119 98.9 Female 76 120 99.0 Female 79 121 99.0 Female 81 122 99.1 Female 80 123 99.1 Female 74 124 99.2 Female 77 125 99.2 Female 66 126 99.3 Female 68 127 99.4 Female 77 128 99.9 Female 79 129 100.0 Female 78 130 100.8 Female 77 ; run; data statdata.German; input @1 ID 3. @5 Pre 6.2 @12 Retain 6.2 @19 Group $9. @29 Gender $6.; Change=Retain-Pre; cards; 101 56.41 89.19 Treatment Male 103 66.67 86.49 Treatment Male 105 58.97 56.76 Treatment Male 107 79.49 62.16 Treatment Male 110 46.15 56.76 Treatment Male 112 58.97 59.46 Treatment Male 121 56.41 75.68 Treatment Male 104 71.79 81.08 Treatment Female 109 51.28 75.68 Treatment Female 115 71.79 81.08 Treatment Female 116 76.92 67.57 Treatment Female 118 58.97 91.89 Treatment Female 119 74.36 81.08 Treatment Female 120 53.85 81.08 Treatment Female 123 69.23 75.68 Treatment Female 302 66.67 81.08 Control Male 303 82.05 86.49 Control Male 306 71.79 86.49 Control Male 308 71.79 70.27 Control Male 312 53.85 70.27 Control Male 316 84.62 78.38 Control Male 320 58.97 78.38 Control Male 322 30.77 40.54 Control Male 304 71.79 86.49 Control Female 307 74.36 81.08 Control Female 309 100.00 94.59 Control Female 313 79.49 81.08 Control Female 317 79.49 81.08 Control Female ; run; data statdata.MGGarlic; input @1 Fertilizer 1. @3 BulbWt 7.5 @11 Cloves 7.4 @19 BedID 5.; datalines; 4 0.20901 11.5062 30402 3 0.25792 12.2550 23423 2 0.21588 12.0982 20696 4 0.24754 12.9199 25412 1 0.24402 12.5793 10575 3 0.20150 10.6891 21466 1 0.20891 11.5416 14749 4 0.15173 14.0173 25342 2 0.24114 9.9072 20383 3 0.23350 11.2130 23306 3 0.21481 11.2933 22730 2 0.19560 10.0428 19533 3 0.22271 11.4917 23104 2 0.15851 12.4579 19316 4 0.17713 12.6372 25759 1 0.23277 11.1439 18057 3 0.23229 12.5118 22934 3 0.18914 12.1337 21414 1 0.20161 13.1160 14158 3 0.21213 11.8415 22006 1 0.25285 12.0435 18652 2 0.22152 11.6716 20805 1 0.25362 11.4838 16662 1 0.24118 12.5481 14607 3 0.25785 10.1495 22981 3 0.27828 10.7842 22741 3 0.22790 11.7475 24758 1 0.20530 12.0564 14192 1 0.18840 13.0964 14578 2 0.23194 10.9575 20897 2 0.18979 12.0743 19493 2 0.21414 12.7071 19588 ; run; data statdata.MGGarlic_Block; input @1 Sector 1. @3 Position 1. @5 Fertilizer 1. @7 BulbWt 7.5 @15 Cloves 7.4 @23 BedId 5.; datalines; 1 1 3 0.25881 11.6322 22961 1 2 4 0.20746 12.5837 23884 1 3 1 0.27453 12.0597 19642 1 4 2 0.24467 12.1001 20384 2 1 3 0.21454 11.5863 20303 2 2 4 0.16953 12.7132 21004 2 3 1 0.22504 12.0470 16117 2 4 2 0.16809 11.9071 19686 3 1 4 0.21720 12.3655 26527 3 2 3 0.22551 11.6864 23574 3 3 2 0.23536 12.0258 17499 3 4 1 0.24937 11.6668 16636 4 1 4 0.20811 12.5996 24834 4 2 1 0.21138 12.1393 19946 4 3 2 0.19320 12.0792 21504 4 4 3 0.19256 11.6464 23181 5 1 4 0.19851 12.5355 24533 5 2 1 0.18603 12.3307 15009 5 3 3 0.19698 11.5608 23845 5 4 2 0.15745 11.8735 18948 6 1 2 0.20058 11.9077 20019 6 2 3 0.25346 11.7294 22228 6 3 4 0.19838 12.7670 24424 6 4 1 0.25439 12.0139 13755 7 1 3 0.26578 11.7448 21087 7 2 4 0.21678 12.8531 25751 7 3 2 0.26183 12.3990 20296 7 4 1 0.27506 11.9383 20038 8 1 1 0.21420 12.1034 17843 8 2 3 0.17877 11.5682 21394 8 3 4 0.20714 12.5213 27191 8 4 2 0.22803 12.2317 20202 ; run; data statdata.Drug; input @1 PatientID 4. @6 DrugDose 1. @8 Disease $1. @10 BloodP 4.; datalines; 69 2 B 13 162 4 A -47 181 1 B 12 209 4 A -4 308 2 A 4 331 4 C 37 340 4 C -19 350 1 B -9 360 2 B -17 363 4 A -41 382 2 C -5 531 2 C -1 595 4 B 23 601 1 A -2 750 1 C -1 864 1 B -17 868 1 C -5 886 4 C -28 900 3 C -16 943 1 A 5 1005 4 B 38 1025 3 A -12 1026 1 B -5 1094 4 B 44 1150 2 B 35 1175 4 B -7 1260 4 A -48 1400 1 A 16 1415 2 A 14 1479 3 A -33 1507 4 A -20 1685 3 B -10 1733 3 A -24 1758 1 B -12 1765 2 B 34 1836 1 C -16 1975 4 B 42 2118 2 C -10 2185 4 B 55 2210 2 C 32 2295 3 B 44 2345 2 A -33 2387 4 B 42 2463 4 A -6 2547 3 C -5 2580 4 C -57 2589 3 B 25 2880 1 B -14 2896 4 A -24 2911 1 A 25 2935 1 A -22 2944 1 C 22 3026 3 C -6 3043 3 A -48 3104 3 A -40 3162 4 A -37 3172 4 C 27 3211 3 A -51 3233 3 C 27 3261 1 C -10 3265 1 C 4 3329 1 B 22 3426 2 A 1 3486 2 A -1 3590 4 B 39 3631 4 C 23 3696 4 A 11 3726 2 A -12 3735 2 A -7 3877 3 C 2 3878 3 A -28 3970 2 A -37 4002 2 A 12 4027 3 B 22 4193 2 A -27 4247 4 C 2 4305 2 B -9 4688 1 C -0 4777 4 A -8 4796 1 C -9 4817 4 A -19 4878 4 B 26 4921 2 B 8 5083 2 A 19 5095 3 C -21 5121 1 A 1 5174 4 A -37 5240 3 C 4 5290 1 A -4 5312 2 B 12 5314 4 C -23 5462 1 B -6 5530 4 C -18 5545 4 C 9 5701 3 B 9 5704 1 B -3 5848 4 A -24 5878 2 C -36 5879 4 C 11 5917 2 C -10 5956 3 C -0 5962 3 C -12 5973 3 B 7 5992 4 B 20 6203 1 C 17 6222 2 B -6 6264 4 A -61 6307 2 B 6 6308 4 B 8 6420 4 C 11 6439 3 A -25 6443 3 B 40 6652 3 B 15 6711 3 A -20 6838 2 A -22 6892 4 B -6 6897 2 C -14 7080 3 C -19 7084 1 A -22 7120 3 B 50 7364 3 C -26 7420 1 B -6 7582 1 B -11 7616 2 B -45 7698 4 A 12 7767 1 C 45 7801 3 A -2 7823 2 C -17 7827 3 C 4 7829 2 A 0 7850 1 A 10 7922 1 C -15 7954 2 C 50 7999 3 A -23 8003 2 A -30 8009 3 B 42 8090 1 A -0 8139 2 C -5 8158 4 A -30 8196 4 A -29 8223 1 B 19 8229 2 A -37 8339 3 B 42 8368 4 C 42 8394 3 A 11 8467 1 C -38 8518 3 C -12 8542 2 B -23 8554 2 C 9 8669 1 A 4 8836 1 B -35 8923 1 B -39 8952 2 A 1 8953 3 C 8 9039 3 A -46 9099 2 B 14 9120 3 B 60 9159 4 B -22 9237 3 B 25 9530 1 B -18 9679 2 B 15 9682 2 B 21 9693 4 A 6 9714 2 C -32 9735 1 C -7 9865 3 B -24 9878 1 C 19 9941 2 B 23 9947 1 A 5 9990 2 C -24 ; run; data statdata.ads(keep=ad sales) statdata.ads1; length Ad $8; input Ad Area Sales; datalines; paper 1 75 radio 1 69 people 1 63 display 1 52 paper 2 57 radio 2 51 people 2 67 display 2 61 paper 3 76 radio 3 100 people 3 85 display 3 61 paper 4 77 radio 4 90 people 4 80 display 4 76 paper 5 75 radio 5 77 people 5 87 display 5 57 paper 6 72 radio 6 60 people 6 62 display 6 52 paper 7 76 radio 7 33 people 7 70 display 7 33 paper 8 81 radio 8 79 people 8 75 display 8 69 paper 9 63 radio 9 73 people 9 40 display 9 60 paper 10 94 radio 10 100 people 10 64 display 10 61 paper 11 54 radio 11 61 people 11 40 paper 12 70 radio 12 68 people 12 67 display 12 66 paper 13 87 radio 13 68 people 13 51 display 11 41 display 13 65 paper 14 65 radio 14 63 people 14 61 display 14 58 paper 15 65 radio 15 83 people 15 75 display 15 50 paper 16 79 radio 16 76 people 16 64 display 16 44 paper 17 62 radio 17 73 people 17 50 display 17 45 paper 18 75 radio 18 74 people 18 62 display 18 58 paper 1 68 radio 1 54 people 1 58 display 1 41 paper 2 75 radio 2 78 people 2 82 display 2 44 paper 3 83 radio 3 79 people 3 78 display 3 86 paper 4 66 radio 4 83 people 4 87 display 4 75 paper 5 66 radio 5 74 people 5 70 display 5 75 paper 6 76 radio 6 69 people 6 77 display 6 63 paper 7 70 radio 7 68 people 7 68 display 7 52 paper 8 86 radio 8 75 people 8 61 display 8 61 paper 9 62 radio 9 65 people 9 55 display 9 43 paper 10 88 radio 10 70 people 10 76 display 10 69 paper 11 56 radio 11 53 people 11 70 display 11 43 paper 12 86 radio 12 73 people 12 77 display 12 51 paper 13 84 radio 13 79 people 13 42 display 13 60 paper 14 77 radio 14 66 people 14 71 display 14 52 paper 15 78 radio 15 65 people 15 65 display 15 55 paper 16 80 radio 16 81 people 16 78 display 16 52 paper 17 62 radio 17 57 people 17 37 display 17 45 paper 18 70 radio 18 65 people 18 83 display 18 60 run; data statdata.concrete; infile datalines dsd dlm=' '; input Brand : $12. Additive : $10. Strength; datalines; Graystone reinforced 32.6 Graystone reinforced 31.5 Graystone reinforced 30.0 Graystone standard 29.8 Graystone reinforced 29.7 Graystone reinforced 29.5 Consolidated reinforced 29.3 "EZ Mix" reinforced 30.2 "EZ Mix" reinforced 28.2 "EZ Mix" standard 28.0 "EZ Mix" standard 28.0 "EZ Mix" reinforced 26.7 Graystone standard 26.4 Consolidated reinforced 26.3 "EZ Mix" reinforced 25.7 "EZ Mix" reinforced 25.5 Consolidated reinforced 25.4 Consolidated reinforced 25.3 "EZ Mix" standard 24.9 Graystone standard 24.6 Graystone standard 24.4 Consolidated standard 24.2 Consolidated standard 23.9 Consolidated reinforced 22.7 Consolidated standard 22.4 Consolidated standard 22.1 "EZ Mix" standard 21.3 Graystone standard 21.2 Consolidated standard 20.4 "EZ Mix" standard 19.8 ; run; data statdata.BodyFat; input Case PctBodyFat1 PctBodyFat2 Density Age Weight Height Adioposity FatFreeWt Neck Chest Abdomen Hip Thigh Knee Ankle Biceps Forearm Wrist; datalines; 1 12.6 12.3 1.0708 23 154.25 67.75 23.7 134.9 36.2 93.1 85.2 94.5 59 37.3 21.9 32 27.4 17.1 2 6.9 6.1 1.0853 22 173.25 72.25 23.4 161.3 38.5 93.6 83 98.7 58.7 37.3 23.4 30.5 28.9 18.2 3 24.6 25.3 1.0414 22 154 66.25 24.7 116 34 95.8 87.9 99.2 59.6 38.9 24 28.8 25.2 16.6 4 10.9 10.4 1.0751 26 184.75 72.25 24.9 164.7 37.4 101.8 86.4 101.2 60.1 37.3 22.8 32.4 29.4 18.2 5 27.8 28.7 1.034 24 184.25 71.25 25.6 133.1 34.4 97.3 100 101.9 63.2 42.2 24 32.2 27.7 17.7 6 20.6 20.9 1.0502 24 210.25 74.75 26.5 167 39 104.5 94.4 107.8 66 42 25.6 35.7 30.6 18.8 7 19 19.2 1.0549 26 181 69.75 26.2 146.6 36.4 105.1 90.7 100.3 58.4 38.3 22.9 31.9 27.8 17.7 8 12.8 12.4 1.0704 25 176 72.5 23.6 153.6 37.8 99.6 88.5 97.1 60 39.4 23.2 30.5 29 18.8 9 5.1 4.1 1.09 25 191 74 24.6 181.3 38.1 100.9 82.5 99.9 62.9 38.3 23.8 35.9 31.1 18.2 10 12 11.7 1.0722 23 198.25 73.5 25.8 174.4 42.1 99.6 88.6 104.1 63.1 41.7 25 35.6 30 19.2 11 7.5 7.1 1.083 26 186.25 74.5 23.6 172.3 38.5 101.5 83.6 98.2 59.7 39.7 25.2 32.8 29.4 18.5 12 8.5 7.8 1.0812 27 216 76 26.3 197.7 39.4 103.6 90.9 107.7 66.2 39.2 25.9 37.2 30.2 19 13 20.5 20.8 1.0513 32 180.5 69.5 26.3 143.5 38.4 102 91.6 103.9 63.4 38.3 21.5 32.5 28.6 17.7 14 20.8 21.2 1.0505 30 205.25 71.25 28.5 162.5 39.4 104.1 101.8 108.6 66 41.5 23.7 36.9 31.6 18.8 15 21.7 22.1 1.0484 35 187.75 69.5 27.4 147 40.5 101.3 96.4 100.1 69 39 23.1 36.1 30.5 18.2 16 20.5 20.9 1.0512 35 162.75 66 26.3 129.3 36.4 99.1 92.8 99.2 63.1 38.7 21.7 31.1 26.4 16.9 17 28.1 29 1.0333 34 195.75 71 27.3 140.8 38.9 101.9 96.4 105.2 64.8 40.8 23.1 36.2 30.8 17.3 18 22.4 22.9 1.0468 32 209.25 71 29.2 162.5 42.1 107.6 97.5 107 66.9 40 24.4 38.2 31.6 19.3 19 16.1 16 1.0622 28 183.75 67.75 28.2 154.3 38 106.8 89.6 102.4 64.2 38.7 22.9 37.2 30.5 18.5 20 16.5 16.5 1.061 33 211.75 73.5 27.6 176.8 40 106.2 100.5 109 65.8 40.6 24 37.1 30.1 18.2 21 19 19.1 1.0551 28 179 68 27.3 145.1 39.1 103.3 95.9 104.9 63.5 38 22.1 32.5 30.3 18.4 22 15.3 15.2 1.064 28 200.5 69.75 29.1 169.8 41.3 111.4 98.8 104.8 63.4 40.6 24.6 33 32.8 19.9 23 15.7 15.6 1.0631 31 140.25 68.25 21.2 118.2 33.9 86 76.4 94.6 57.4 35.3 22.2 27.9 25.9 16.7 24 17.6 17.7 1.0584 32 148.75 70 21.4 122.6 35.5 86.7 80 93.4 54.9 36.2 22.1 29.8 26.7 17.1 25 14.2 14 1.0668 28 151.25 67.75 23.2 129.8 34.5 90.2 76.3 95.8 58.4 35.5 22.9 31.1 28 17.6 26 4.6 3.7 1.0911 27 159.25 71.5 21.9 151.9 35.7 89.6 79.7 96.5 55 36.7 22.5 29.9 28.2 17.7 27 8.5 7.9 1.0811 34 131.5 67.5 20.3 120.3 36.2 88.6 74.6 85.3 51.7 34.7 21.4 28.7 27 16.5 28 22.4 22.9 1.0468 31 148 67.5 22.9 114.9 38.8 97.4 88.7 94.7 57.5 36 21 29.2 26.6 17 29 4.7 3.7 1.091 27 133.25 64.75 22.4 127 36.4 93.5 73.9 88.5 50.1 34.5 21.3 30.5 27.9 17.2 30 9.4 8.8 1.079 29 160.75 69 23.8 145.7 36.7 97.4 83.5 98.7 58.9 35.3 22.6 30.1 26.7 17.6 31 12.3 11.9 1.0716 32 182 73.75 23.6 159.7 38.7 100.5 88.7 99.8 57.5 38.7 33.9 32.5 27.7 18.4 32 6.5 5.7 1.0862 29 160.25 71.25 22.2 149.8 37.3 93.5 84.5 100.6 58.5 38.8 21.5 30.1 26.4 17.9 33 13.4 11.8 1.0719 27 168 71.25 23.3 142.5 38.1 93 79.1 94.5 57.3 36.2 24.5 29 30 18.8 34 20.9 21.3 1.0502 41 218.5 71 30.5 172.7 39.8 111.7 100.5 108.3 67.1 44.2 25.2 37.5 31.5 18.7 35 31.1 32.3 1.0263 41 247.25 73.5 32.2 170.4 42.1 117 115.6 116.1 71.2 43.3 26.3 37.3 31.7 19.7 36 38.2 40.1 1.0101 49 191.75 65 32 118.4 38.4 118.5 113.1 113.8 61.9 38.3 21.9 32 29.8 17 37 23.6 24.2 1.0438 40 202.25 70 29.1 154.5 38.5 106.5 100.9 106.2 63.5 39.9 22.6 35.1 30.6 19 38 27.5 28.4 1.0346 50 196.75 68.25 29.7 142.6 42.1 105.6 98.8 104.8 66 41.5 24.7 33.2 30.5 19.4 39 33.8 35.2 1.0202 46 363.15 72.25 48.9 240.5 51.2 136.2 148.1 147.7 87.3 49.1 29.6 45 29 21.4 40 31.3 32.6 1.0258 50 203 67 31.8 139.4 40.2 114.8 108.1 102.5 61.3 41.1 24.7 34.1 31 18.3 41 33.1 34.5 1.0217 45 262.75 68.75 39.1 175.8 43.2 128.3 126.2 125.6 72.5 39.6 26.6 36.4 32.7 21.4 42 31.7 32.9 1.025 44 205 29.5 29.9 140.1 36.6 106 104.3 115.5 70.6 42.5 23.7 33.6 28.7 17.4 43 30.4 31.6 1.0279 48 217 70 31.2 151.1 37.3 113.3 111.2 114.1 67.7 40.9 25 36.7 29.8 18.4 44 30.8 32 1.0269 41 212 71.5 29.2 146.7 41.5 106.6 104.3 106 65 40.2 23 35.8 31.5 18.8 45 8.4 7.7 1.0814 39 125.25 68 19.1 114.7 31.5 85.1 76 88.2 50 34.7 21 26.1 23.1 16.1 46 14.1 13.9 1.067 43 164.25 73.25 21.3 141.1 35.7 96.6 81.5 97.2 58.4 38.2 23.4 29.7 27.4 18.3 47 11.2 10.8 1.0742 40 133.5 67.5 20.6 118.5 33.6 88.2 73.7 88.5 53.3 34.5 22.5 27.9 26.2 17.3 48 6.4 5.6 1.0665 39 148.5 71.25 20.6 139 34.6 89.8 79.5 92.7 52.7 37.5 21.9 28.8 26.8 17.9 49 13.4 13.6 1.0678 45 135.75 68.5 20.4 117.6 32.8 92.3 83.4 90.4 52 35.8 20.6 28.8 25.5 16.3 50 5 4 1.0903 47 127.5 66.75 20.2 121.2 34 83.4 70.4 87.2 50.6 34.4 21.9 26.8 25.8 16.8 51 10.7 10.2 1.0756 47 158.25 72.25 21.3 141.4 34.9 90.2 86.7 98.3 52.6 37.2 22.4 26 25.8 17.3 52 7.4 6.6 1.084 40 139.25 69 20.6 129 34.3 89.2 77.9 91 51.4 34.9 21 26.7 26.1 17.2 53 8.7 8 1.0807 51 137.25 67.75 21.1 125.3 36.5 89.7 82 89.1 49.3 33.7 21.4 29.6 26 16.9 54 7.1 6.3 1.0848 49 152.75 73.5 19.9 142 35.1 93.3 79.6 91.6 52.6 37.6 22.6 38.5 27.4 18.5 55 4.9 3.9 1.0906 42 136.25 67.5 21.1 129.6 37.8 87.6 77.6 88.6 51.9 34.9 22.5 27.7 27.5 18.5 56 22.2 22.6 1.0473 54 198 72 26.9 154.1 39.9 107.6 100 99.6 57.2 38 22 35.9 30.2 18.9 57 20.1 20.4 1.0524 58 181.5 68 27.6 145.1 39.1 100 99.8 102.5 62.1 39.6 22.5 33.1 28.3 18.5 58 27.1 28 1.0356 62 201.25 69.5 29.3 146.7 40.5 111.5 104.2 105.8 61.8 39.8 22.7 37.7 30.9 19.2 59 30.4 31.5 1.028 54 202.5 70.75 28.4 141 40.5 115.4 105.3 97 59.1 38 22.5 31.6 28.8 18.2 60 24 24.6 1.043 61 179.75 65.75 29.2 136.7 38.4 104.8 98.3 99.6 60.6 37.7 22.9 34.5 29.6 18.5 61 25.4 26.1 1.0396 62 216 73.25 28.2 161.2 41.4 112.3 104.8 103.1 61.6 40.9 23.1 36.2 31.8 20.2 62 28.8 29.8 1.0317 56 178.75 68.5 26.8 127.4 35.6 102.9 94.7 100.8 60.9 38 22.1 32.5 29.8 18.3 63 29.6 30.7 1.0298 54 193.25 70.25 27.6 136.1 38 107.6 102.4 99.4 61 39.4 23.6 32.7 29.9 19.1 64 25.1 25.8 1.0403 61 178 67 27.9 133.3 37.4 105.3 99.7 99.7 60.8 40.1 22.7 33.6 29 18.8 65 31 32.3 1.0264 57 205.5 70 29.5 141.7 40.1 105.3 105.5 108.3 65 41.2 24.7 35.3 31.1 18.4 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21.4 29.3 27 18.3 77 9.2 8.8 1.079 57 162.5 69.5 23.7 147.5 38.7 91.6 78.8 94.3 56.7 39.7 24.2 30.2 29.2 18.1 78 21.7 22.2 1.0483 69 177.75 68.5 26.7 139.1 38.7 102 95 98.3 55 38.3 21.8 30.8 25.7 18.8 79 21.1 21.5 1.0498 81 161.25 70.25 23 127.2 37.8 96.4 95.4 99.3 53.5 37.5 21.5 31.4 26.8 18.3 80 18.6 18.8 1.056 66 171.25 69.25 25.1 139.5 37.4 102.7 98.6 100.2 56.5 39.3 22.7 30.3 28.7 19 81 30.2 31.4 1.0283 67 163.75 67.75 25.1 114.3 38.4 97.7 95.8 97.1 54.8 38.2 23.7 29.4 27.2 19 82 26 26.8 1.0382 64 150.25 67.25 23.4 111.2 38.1 97.1 89 96.9 54.8 38 22 29.9 25.2 17.7 83 18.2 18.4 1.0568 64 190.25 72.75 25.3 155.6 39.3 103.1 97.8 99.6 58.9 39 23 34.3 29.6 19 84 26.2 27 1.0377 70 170.75 70 24.5 126 38.7 101.8 94.9 95 56 36.5 24.1 31.2 27.3 19.2 85 26.1 27 1.0378 72 168 69.25 24.7 124.1 38.5 101.4 99.8 96.2 56.3 36.6 22 29.7 26.3 18 86 25.8 26.6 1.0386 67 167 67.5 26 123.9 36.5 98.9 89.7 96.2 54.7 37.8 33.7 32.4 27.7 18.2 87 15 14.9 1.0648 72 157.75 67.25 24.6 134.1 37.7 97.5 88.1 96.9 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1.0593 43 194 75.5 24 160.6 38.5 110.1 88.7 102.1 57.5 40 24.8 35.1 30.7 19.2 110 21 21.4 1.05 40 168.5 69.25 24.7 133.1 34.2 97.8 92.3 100.6 57.5 36.8 22.8 32.1 26 17.3 111 19.5 19.7 1.0538 43 170.75 68.5 25.6 137.5 37.2 96.3 90.6 99.3 61.9 38 22.3 33.3 28.2 18.1 112 27.1 28 1.0355 43 183.25 70 26.3 133.5 37.1 108 105 103 63.7 40 23.6 33.5 27.8 17.4 113 21.6 22.1 1.0486 47 178.25 70 25.6 139.7 40.2 99.7 95 98.6 62.3 38.1 23.9 35.3 31.1 19.8 114 20.9 21.3 1.0503 42 163 70.25 23.3 128.9 35.3 93.5 89.6 99.8 61.5 37.8 21.9 30.7 27.6 17.4 115 25.9 26.7 1.0384 48 175.25 71.75 24 129.9 38 100.7 92.4 97.5 59.3 38.1 21.8 31.8 27.3 17.5 116 16.7 16.7 1.0607 40 158 69.25 23.4 131.7 36.3 97 86.6 92.6 55.9 36.3 22.1 29.8 26.3 17.3 117 19.8 20.1 1.0529 48 177.25 72.75 23.6 142.1 36.8 96 90 99.7 58.8 38.4 22.8 29.9 28 18.1 118 14.1 13.9 1.0671 51 179 72 24.3 153.8 41 99.2 90 96.4 56.8 38.8 23.3 33.4 29.8 19.5 119 25.1 25.8 1.0404 40 191 74 24.6 143.1 38.3 95.4 92.4 104.3 64.6 41.1 24.8 33.6 29.5 18.5 120 17.9 18.1 1.0575 44 187.5 72.25 25.3 153.8 38 101.8 87.5 101 58.5 39.2 24.5 32.1 28.6 18 121 27 27.9 1.0358 52 206.5 74.5 26.2 150.7 40.8 104.3 99.2 104.1 58.5 39.3 24.6 33.9 31.2 19.5 122 24.6 25.3 1.0414 44 185.25 71.5 25.5 139.6 39.5 99.2 98.1 101.4 57.1 40.5 23.2 33 29.6 18.4 123 14.8 14.7 1.0652 40 160.25 68.75 23.9 136.5 36.9 99.3 83.3 97.5 60.5 38.7 22.6 34.4 28 17.6 124 16 16 1.0623 47 151.5 66.75 23.9 127.3 36.9 94 86.1 95.2 58.1 36.5 22.1 30.6 27.5 17.6 125 14 13.8 1.0674 50 161 66.5 25.6 138.5 37.7 98.9 84.1 94 58.5 36.6 23.5 34.4 29.2 18 126 17.4 17.5 1.0587 46 167 67 26.2 137.9 36.6 101 89.9 100 60.7 36 21.9 35.6 30.2 17.6 127 26.4 27.2 1.0373 42 177.5 68.75 26.4 130.7 38.9 98.7 92.1 98.5 60.7 36.8 22.2 33.8 30.3 17.2 128 17.4 17.4 1.059 43 152.25 67.75 23.4 125.8 37.5 95.9 78 93.2 53.5 35.8 20.8 33.9 28.2 17.4 129 20.4 20.8 1.0515 40 192.25 73.25 25.2 153 39.8 103.9 93.5 99.5 61.7 39 21.8 33.3 29.6 18.1 130 15 14.9 1.0648 42 165.25 69.75 23.9 140.5 38.3 96.2 87 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24.9 1.0422 40 176.75 71 24.6 133.8 37.4 98.6 93.1 101.6 59.1 39.6 21.6 30.8 27.9 16.6 142 18.1 18.3 1.0571 40 173.25 69.5 25.3 141.8 36.5 99.5 93 99.3 60.4 38.2 22 32 28.5 17.8 143 22.7 23.3 1.0459 52 167 67.75 25.6 129 37.5 102.7 91 98.9 57.1 36.7 22.3 31.6 27.5 17.9 144 9.9 9.4 1.0775 23 159.75 72.25 21.6 143.9 35.5 92.1 77.1 93.9 56.1 36.1 22.7 30.5 27.2 18.2 145 10.8 10.3 1.0754 23 188.15 77.5 22.1 168.4 38 96.6 85.3 102.5 59.1 37.6 23.2 31.8 29.7 18.3 146 14.4 14.2 1.0664 24 156 70.75 21.9 133.6 35.7 92.7 81.9 95.3 56.4 36.5 22 33.5 28.3 17.3 147 19 19.2 1.055 24 208.5 72.75 27.7 168.9 39.2 102 99.1 110.1 71.2 43.5 25.2 36.1 30.3 18.7 148 28.6 29.6 1.0322 25 206.5 69.75 29.8 147.5 40.9 110.9 100.5 106.2 68.4 40.8 24.6 33.3 29.7 18.4 149 6.1 5.3 1.0873 25 143.75 72.5 19.3 135 35.2 92.3 76.5 92.1 51.9 35.7 22 25.8 25.2 16.9 150 24.5 25.2 1.0416 26 223 70.25 31.8 168.3 40.6 114.1 106.8 113.9 67.6 42.7 24.7 36 30.4 18.4 151 9.9 9.4 1.0776 26 152.25 69 22.5 137.2 35.4 92.9 77.6 93.5 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20.2 20.5 1.0521 35 177.25 71 24.8 141.7 38.4 100.5 90.3 98.7 57.8 37.3 22.4 31 28.7 17.7 174 16.8 16.9 1.0603 36 176.25 71.5 24.3 146.6 38.7 98.2 90.3 99.9 59.2 37.7 21.5 32.4 28.4 17.8 175 24.6 25.3 1.0414 36 226.75 71.75 31 170.9 41.5 115.3 108.8 114.4 69.2 42.4 24 35.4 21 20.1 176 10.4 9.9 1.0763 37 145.25 69.25 21.3 130.2 36 96.8 79.4 89.2 50.3 34.8 22.2 31 26.9 16.9 177 13.4 13.1 1.0689 37 151 67 23.7 130.8 35.3 92.6 83.2 96.4 60 38.1 22 31.5 26.6 16.7 178 28.8 29.9 1.0316 37 241.25 71.5 33.2 171.7 42.1 119.2 110.3 113.9 69.8 42.6 24.8 34.4 29.5 18.4 179 22 22.5 1.0477 38 187.25 69.25 27.5 146.1 38 102.7 92.7 101.9 64.7 39.5 24.7 34.8 30.3 18.1 180 16.8 16.9 1.0603 39 234.75 74.5 29.8 195.3 42.8 109.5 104.5 109.9 69.5 43.1 25.8 39.1 32.5 19.9 181 25.8 26.6 1.0387 39 219.25 74.25 28 162.7 40 108.5 104.6 109.8 68.1 42.8 24.1 35.6 29 19 182 0 0 1.1089 40 118.5 68 18.1 118.5 33.8 79.3 69.4 85 47.2 33.5 20.2 27.7 24.6 16.5 183 11.9 11.5 1.0725 40 145.75 67.25 22.7 128.4 35.5 95.5 83.6 91.6 54.1 36.2 21.8 31.4 28.3 17.2 184 12.4 12.1 1.0713 40 159.25 69.75 23 139.5 35.3 92.3 86.8 96.1 58 39.4 22.7 30 26.4 17.4 185 17.4 17.5 1.0587 40 170.5 74.25 21.8 140.8 37.7 98.9 90.4 95.5 55.4 38.9 22.4 30.5 28.9 17.7 186 9.2 8.6 1.0794 40 167.5 71.5 23.1 152.1 39.4 89.5 83.7 98.1 57.3 39.7 22.6 32.9 29.3 18.2 187 23 23.6 1.0453 41 232.75 74.25 29.7 179.2 41.9 117.5 109.3 108.8 67.7 41.3 24.7 37.2 31.8 20 188 20.1 20.4 1.0524 41 210.5 72 28.6 168.3 38.5 107.4 98.9 104.1 63.5 39.8 23.5 36.4 30.4 19.1 189 20.2 20.5 1.052 41 202.25 72.5 27 161.4 40.8 109.2 98 101.8 62.8 41.3 24.8 36.6 32.4 18.8 190 23.8 24.4 1.0434 41 185 68.25 28 141 38 103.4 101.2 103.1 61.5 40.4 22.9 33.4 29.2 18.5 191 11.8 11.4 1.0728 41 153 69.25 22.5 135 36.4 91.4 80.6 92.3 54.3 36.3 21.8 29.6 27.3 17.9 192 36.5 38.1 1.014 42 244.25 76 29.8 155.2 41.8 115.2 113.7 112.4 68.5 45 25.5 37.1 31.2 19.9 193 16 15.9 1.0624 42 193.5 70.5 27.4 162.6 40.7 104.9 94.1 102.7 60.6 38.6 24.7 34 30.1 18.7 194 24 24.7 1.0429 42 224.75 74.75 28.3 170.8 38.5 106.7 105.7 111.8 65.3 43.3 26 33.7 29.9 18.5 195 22.3 22.8 1.047 42 162.75 72.75 21.6 126.5 35.4 92.2 85.6 96.5 60.2 38.9 22.4 31.7 27.1 17.1 196 24.8 25.5 1.0411 42 180 68.25 27.2 135.4 38.5 101.6 96.6 100.6 61.1 38.4 24.1 32.9 29.8 18.8 197 21.5 22 1.0488 42 156.25 69 23.1 122.6 35.5 97.8 86 96.2 57.7 38.6 24 31.2 27.3 17.4 198 17.6 17.7 1.0583 42 168 71.5 23.1 138.4 36.5 92 89.7 101 62.3 38 22.3 30.8 27.8 16.9 199 7.3 6.6 1.0841 42 167.25 72.75 22.3 155.1 37.6 94 78 99 57.5 40 22.5 30.6 30 18.5 200 22.6 23.6 1.0462 43 170.75 67.5 26.4 132.1 37.4 103.7 89.7 94.2 58.5 39 24.1 33.8 28.8 18.8 201 12.5 12.2 1.0709 43 178.25 70.25 25.4 155.9 37.8 102.7 89.2 99.2 60.2 39.2 23.8 31.7 28.4 18.6 202 21.7 22.1 1.0484 43 150 69.25 22 117.5 35.2 91.1 85.7 96.9 55.5 35.7 22 29.4 26.6 17.4 203 27.7 28.7 1.034 43 200.5 71.5 27.6 144.9 37.9 107.2 103.1 105.5 68.8 38.3 23.7 32.1 28.9 18.7 204 6.8 6 1.0854 44 184 74 23.7 171.4 37.9 100.8 89.1 102.6 60.6 39 24 32.9 29.2 18.4 205 33.4 34.8 1.0209 44 223 69.75 32.3 148.5 40.9 121.6 113.9 107.1 63.5 40.3 21.8 34.8 30.7 17.4 206 16.6 16.6 1.061 44 208.75 73 27.6 174.2 41.9 105.6 96.3 102 63.3 39.8 24.1 37.3 23.1 19.4 207 31.7 32.9 1.025 44 166 65.5 27.2 113.5 39.1 100.6 93.9 100.1 58.9 37.6 21.4 33.1 29.5 17.3 208 31.5 32.8 1.0254 47 195 72.5 26.1 133.6 40.2 102.7 101.3 101.7 60.7 39.4 23.3 36.7 31.6 18.4 209 10.1 9.6 1.0771 47 160.5 70.25 22.9 144.3 36 99.8 83.9 91.8 53 36.2 22.5 31.4 27.5 17.7 210 11.3 10.8 1.0742 47 159.75 70.75 22.5 141.8 34.5 92.9 84.4 94 56 38.2 22.6 29 26.2 17.6 211 7.8 7.1 1.0829 49 140.5 68 21.4 129.5 35.8 91.2 79.4 89 51.1 35 21.7 30.9 28.8 17.4 212 26.4 27.2 1.0373 49 216.25 74.5 27.4 159.3 40.2 115.6 104 109 63.7 40.3 23.2 36.8 31 18.9 213 19.3 19.5 1.0543 49 168.25 71.75 23 135.9 38.3 98.3 89.7 99.1 56.3 38.8 23 29.5 27.9 18.6 214 18.5 18.7 1.0561 50 194.75 70.75 27.4 158.7 39 103.7 97.6 104.2 60 40.9 25.5 32.7 30 19 215 19.3 19.5 1.0543 50 172.75 73 22.8 139.4 37.4 98.7 87.6 96.1 57.1 38.1 21.8 28.6 26.7 18 216 45.1 47.5 0.995 51 219 64 37.6 120.2 41.2 119.8 122.1 112.8 62.5 36.9 23.6 34.7 29.1 18.4 217 13.8 13.6 1.0678 51 149.25 69.75 21.6 128.7 34.8 92.8 81.1 96.3 53.8 36.5 21.5 31.3 26.3 17.8 218 8.2 7.5 1.0819 51 154.5 70 22.2 141.9 36.9 93.3 81.5 94.4 54.7 39 22.6 27.5 25.9 18.6 219 23.9 24.5 1.0433 52 199.25 71.75 27.2 151.7 39.4 106.8 100 105 63.9 39.2 22.9 35.7 30.4 19.2 220 15.1 15 1.0646 53 154.5 69.25 22.7 131.2 37.6 93.9 88.7 94.5 53.7 36.2 22 28.5 25.7 17.1 221 12.7 12.4 1.0706 54 153.25 70.5 24.5 151.3 38.5 99 91.8 96.2 57.7 38.1 23.9 31.4 29.9 18.9 222 25.3 26 1.0399 54 230 72.25 31 171.9 42.5 119.9 110.4 105.5 64.2 42.7 27 38.4 32 19.6 223 11.9 11.5 1.0726 54 161.75 67.5 25 142.6 37.4 94.2 87.6 95.6 59.7 40.2 23.4 27.9 27 17.8 224 6.1 5.2 1.0874 55 142.25 67.25 22.2 133.6 35.2 92.7 82.8 91.9 54.4 35.2 22.5 29.4 26.8 17 225 11.3 10.9 1.074 55 179.75 68.75 26.8 159.5 41.1 106.9 95.3 98.2 57.4 37.1 21.8 34.1 31.1 19.2 226 12.8 12.5 1.0703 55 126.5 66.75 20 110.3 33.4 88.8 78.2 87.5 50.8 33 19.7 25.3 22 15.8 227 14.9 14.8 1.065 55 169.5 68.25 25.6 144.2 37.2 101.7 91.1 97.1 56.6 38.5 22.6 33.4 29.3 18.8 228 24.5 25.2 1.0418 55 198.5 74.25 25.3 149.9 38.3 105.3 96.7 106.6 64 42.6 23.4 33.2 30 18.4 229 15 14.9 1.0647 56 174.5 69.5 25.4 148.3 38.1 104 89.4 98.4 58.4 37.4 22.5 34.6 30.1 18.8 230 16.9 17 1.0601 56 167.75 68.5 25.2 139.4 37.4 98.6 93 97 55.4 38.8 23.2 32.4 29.7 19 231 11.1 10.6 1.0745 57 147.75 65.75 24.1 131.4 35.2 99.6 86.4 90.1 53 35 21.3 31.7 27.3 16.9 232 16.1 16.1 1.062 57 182.25 71.75 24.9 152.9 39.4 103.4 96.7 100.7 59.3 38.6 22.8 31.8 29.1 19 233 15.5 15.4 1.0636 58 175.5 71.5 24.2 148.4 38 100.2 88.1 97.8 57.1 38.9 23.6 30.9 29.6 18 234 25.9 26.7 1.0384 58 161.75 67.25 25.2 119.9 35.1 94.9 94.9 100.2 56.8 35.9 21 27.8 26.1 17.6 235 25.5 25.8 1.0403 60 157.75 67.5 24.1 117.5 40.4 97.2 93.3 94 54.3 35.7 21 31.3 28.7 18.3 236 18.4 18.6 1.0563 62 168.75 67.5 26.1 137.6 38.3 104.7 95.6 93.7 54.4 37.1 22.7 30.3 26.3 18.3 237 24 24.8 1.0424 62 191.5 72.25 25.8 145.2 40.6 104 98.2 101.1 59.3 40.3 23 32.6 28.5 19 238 26.4 27.3 1.0372 63 219.15 69.5 31.9 161.2 40.2 117.6 113.8 111.8 63.4 41.1 22.3 35.1 29.6 18.5 239 12.7 12.4 1.0705 64 155.25 69.5 22.6 135.5 37.9 95.8 82.8 94.5 61.2 39.1 22.3 29.8 28.9 18.3 240 28.8 29.9 1.0316 65 189.75 65.75 30.9 135.1 40.8 106.4 100.5 100.5 59.2 38.1 24 35.9 30.5 19.1 241 17 17 1.0599 65 127.5 65.75 20.8 105.9 34.7 93 79.7 87.6 50.7 33.4 20.1 28.5 24.8 16.5 242 33.6 35 1.0207 65 224.5 68.25 33.9 149.2 38.8 119.6 118 114.3 61.3 42.1 23.4 34.9 30.1 19.4 243 29.3 30.4 1.0304 66 234.25 72 31.8 165.6 41.4 119.7 109 109.1 63.7 42.4 24.6 35.6 30.7 19.5 244 31.4 32.6 1.0256 67 227.75 72.75 30.3 156.3 41.3 115.8 113.4 109.8 65.6 46 25.4 35.3 29.8 19.5 245 28.1 29 1.0334 67 199.5 68.5 29.9 143.6 40.7 118.3 106.1 101.6 58.2 38.8 24.1 32.1 29.3 18.5 246 15.3 15.2 1.0641 68 155.5 69.25 22.8 131.8 36.3 97.4 84.3 94.4 54.3 37.5 22.6 29.2 27.3 18.5 247 29.1 30.2 1.0308 69 215.5 70.5 30.5 152.7 40.8 113.7 107.6 110 63.3 44 22.6 37.5 32.6 18.8 248 11.5 11 1.0736 70 134.25 67 21.1 118.9 34.9 89.2 83.6 88.8 49.6 34.8 21.5 25.6 25.7 18.5 249 32.3 33.6 1.0236 72 201 69.75 29.1 136.1 40.9 108.5 105 104.5 59.6 40.8 23.2 35.2 28.6 20.1 250 28.3 29.3 1.0328 72 186.75 66 30.2 133.9 38.9 111.1 111.5 101.7 60.3 37.3 21.5 31.3 27.2 18 251 25.3 26 1.0399 72 190.75 70.5 27 142.6 38.9 108.3 101.3 97.8 56 41.6 22.7 30.5 29.4 19.8 252 30.7 31.9 1.0271 74 207.5 70 29.8 143.7 40.8 112.4 108.5 107.1 59.3 42.2 24.6 33.7 30 20.9 ; run; data statdata.BodyFat2; set statdata.BodyFat; if Height=29.5 then Height=69.5; run; data statdata.sales; input @1 Purchase 1. @3 Gender $6. @10 Income $6. @17 Age 2.; datalines; 0 Female Low 40 0 Female Low 46 1 Female Low 41 1 Female Low 39 0 Female Low 31 0 Female Low 31 0 Female Low 32 0 Female Low 44 0 Female Low 42 0 Female Low 39 0 Female Low 38 1 Female Low 46 0 Female Low 37 0 Female Low 37 1 Female Low 44 0 Female Low 38 0 Female Low 25 0 Female Low 44 0 Female Low 39 0 Female Low 34 1 Female Low 30 0 Female Low 43 1 Female Low 47 1 Female Low 35 0 Female Low 35 0 Female Low 33 1 Female Low 38 0 Female Low 37 0 Female Low 46 0 Female Low 40 0 Female Low 44 1 Female Low 37 1 Female Low 38 1 Female Low 29 1 Female Low 40 0 Female Low 34 0 Female Low 43 0 Female Low 38 1 Female Low 50 1 Female Low 41 0 Female Low 40 0 Female Low 39 1 Female Low 38 1 Female Low 36 1 Female Low 37 0 Female Low 38 0 Female Low 40 1 Female Low 33 1 Female Low 51 0 Female Low 30 0 Female Low 30 0 Female Low 34 0 Female Low 45 1 Female Low 39 0 Female Low 46 0 Female Low 39 1 Female Low 56 0 Female Low 35 0 Female Low 36 0 Female Low 35 0 Female Low 43 1 Female Low 36 0 Female Low 39 1 Female Low 38 0 Female Low 34 1 Female Low 35 0 Female Low 44 0 Female Low 40 0 Female Low 41 1 Female Low 37 0 Female Low 54 1 Female Low 41 1 Female Low 33 1 Female Low 36 0 Female Low 32 0 Female Low 37 0 Female Low 37 0 Female Low 54 0 Female Low 49 1 Female Low 31 1 Female Low 37 1 Female Low 37 0 Female Low 37 0 Female Low 40 0 Female Low 41 1 Female Low 34 1 Female Low 31 0 Female Low 27 1 Female Low 35 1 Female Medium 39 0 Female Medium 38 1 Female Medium 34 1 Female Medium 45 0 Female Medium 40 0 Female Medium 41 0 Female Medium 45 0 Female Medium 41 0 Female Medium 32 1 Female Medium 47 1 Female Medium 39 0 Female Medium 40 0 Female Medium 32 0 Female Medium 42 1 Female Medium 31 1 Female Medium 43 0 Female Medium 44 1 Female Medium 48 0 Female Medium 39 1 Female Medium 35 0 Female Medium 32 1 Female Medium 34 1 Female Medium 43 0 Female Medium 34 1 Female Medium 31 0 Female Medium 47 1 Female Medium 36 0 Female Medium 38 0 Female Medium 36 0 Female Medium 39 0 Female Medium 38 1 Female Medium 44 0 Female Medium 34 0 Female Medium 32 1 Female Medium 34 0 Female Medium 49 1 Female Medium 44 0 Female Medium 39 0 Female Medium 35 1 Female Medium 41 1 Female Medium 37 1 Female Medium 38 0 Female Medium 37 1 Female Medium 41 0 Female Medium 35 0 Female Medium 41 1 Female Medium 43 0 Female Medium 42 0 Female Medium 49 0 Female Medium 41 0 Female Medium 41 0 Female Medium 37 0 Female Medium 32 0 Female Medium 38 1 Female Medium 41 1 Female Medium 44 0 Female Medium 41 1 Female Medium 33 1 Female Medium 49 0 Female Medium 39 1 Female Medium 37 0 Female Medium 37 0 Female Medium 35 0 Female Medium 38 1 Female Medium 34 0 Female Medium 43 1 Female Medium 34 0 Female Medium 38 1 Female Medium 38 1 Female Medium 34 1 Female Medium 52 1 Female High 41 0 Female High 40 0 Female High 36 0 Female High 44 0 Female High 43 1 Female High 35 0 Female High 29 0 Female High 27 1 Female High 40 0 Female High 32 1 Female High 44 0 Female High 38 0 Female High 41 0 Female High 30 0 Female High 28 0 Female High 48 1 Female High 33 1 Female High 35 0 Female High 33 1 Female High 40 1 Female High 40 0 Female High 31 1 Female High 38 1 Female High 23 1 Female High 49 1 Female High 39 0 Female High 31 0 Female High 42 1 Female High 38 0 Female High 33 0 Female High 37 0 Female High 34 0 Female High 44 1 Female High 28 1 Female High 35 0 Female High 25 1 Female High 38 1 Female High 34 1 Female High 46 0 Female High 34 0 Female High 35 0 Female High 36 0 Female High 47 0 Female High 40 0 Female High 39 1 Female High 51 1 Female High 45 0 Female High 32 1 Female High 37 1 Female High 36 0 Female High 41 1 Female High 51 1 Female High 51 1 Female High 41 1 Female High 26 1 Female High 49 0 Female High 45 0 Female High 40 0 Female High 39 1 Female High 44 0 Female High 34 0 Female High 39 0 Female High 36 1 Female High 32 1 Female High 45 1 Female High 29 1 Female High 41 1 Female High 39 0 Female High 25 0 Female High 29 1 Female High 38 0 Female High 34 0 Female High 38 0 Female High 23 0 Female High 31 0 Female High 45 1 Female High 40 0 Female High 37 1 Female High 42 0 Female High 42 0 Male Low 28 0 Male Low 57 0 Male Low 39 0 Male Low 34 0 Male Low 46 0 Male Low 32 0 Male Low 39 0 Male Low 36 0 Male Low 36 0 Male Low 39 0 Male Low 35 0 Male Low 31 0 Male Low 36 1 Male Low 49 0 Male Low 37 1 Male Low 36 0 Male Low 41 0 Male Low 43 0 Male Low 37 0 Male Low 39 0 Male Low 40 0 Male Low 39 0 Male Low 46 1 Male Low 39 0 Male Low 37 0 Male Low 42 0 Male Low 45 1 Male Low 48 1 Male Low 38 0 Male Low 34 0 Male Low 37 0 Male Low 36 0 Male Low 31 0 Male Low 28 1 Male Low 41 1 Male Low 39 0 Male Low 39 1 Male Low 48 0 Male Low 36 0 Male Low 39 0 Male Low 41 0 Male Low 41 0 Male Low 37 0 Male Medium 45 0 Male Medium 44 0 Male Medium 32 0 Male Medium 33 1 Male Medium 33 0 Male Medium 41 1 Male Medium 47 0 Male Medium 42 0 Male Medium 34 0 Male Medium 42 1 Male Medium 33 0 Male Medium 25 0 Male Medium 33 0 Male Medium 42 0 Male Medium 40 0 Male Medium 37 0 Male Medium 24 1 Male Medium 45 0 Male Medium 36 0 Male Medium 33 0 Male Medium 38 0 Male Medium 31 0 Male Medium 43 0 Male Medium 38 0 Male Medium 29 0 Male Medium 35 0 Male Medium 44 0 Male Medium 38 0 Male Medium 43 0 Male Medium 46 0 Male Medium 45 1 Male Medium 34 1 Male Medium 38 0 Male Medium 30 0 Male Medium 33 1 Male Medium 33 0 Male Medium 37 1 Male Medium 43 0 Male Medium 42 1 Male Medium 47 0 Male Medium 40 1 Male Medium 37 1 Male Medium 38 0 Male Medium 37 1 Male Medium 35 0 Male Medium 33 0 Male Medium 32 0 Male Medium 39 0 Male Medium 38 0 Male Medium 40 1 Male Medium 44 0 Male Medium 36 0 Male Medium 40 0 Male Medium 44 0 Male Medium 28 0 Male Medium 39 0 Male Medium 39 0 Male Medium 34 0 Male Medium 48 0 Male Medium 39 0 Male Medium 37 0 Male Medium 40 0 Male Medium 34 0 Male Medium 32 0 Male Medium 46 0 Male Medium 35 0 Male Medium 36 0 Male Medium 39 1 Male Medium 44 0 Male Medium 47 1 Male Medium 43 0 Male Medium 40 0 Male Medium 29 0 Male High 41 0 Male High 32 1 Male High 41 0 Male High 32 0 Male High 36 1 Male High 42 0 Male High 24 1 Male High 39 0 Male High 38 0 Male High 35 0 Male High 42 0 Male High 40 0 Male High 33 0 Male High 36 1 Male High 46 1 Male High 42 0 Male High 39 0 Male High 40 1 Male High 39 1 Male High 34 1 Male High 35 1 Male High 35 0 Male High 43 1 Male High 45 1 Male High 38 0 Male High 38 0 Male High 37 0 Male High 42 0 Male High 30 1 Male High 45 1 Male High 36 1 Male High 33 1 Male High 49 1 Male High 41 1 Male High 41 1 Male High 31 0 Male High 33 1 Male High 39 0 Male High 43 1 Male High 46 0 Male High 31 1 Male High 52 0 Male High 40 1 Male High 48 0 Male High 49 1 Male High 38 0 Male High 35 1 Male High 34 1 Male High 37 0 Male High 37 0 Male High 41 1 Male High 33 1 Male High 35 0 Male High 29 0 Male High 47 1 Male High 35 0 Male High 43 0 Male High 40 0 Male High 36 1 Male High 35 0 Male High 45 0 Male High 36 1 Male High 47 1 Male High 39 1 Male High 47 1 Male High 45 1 Male High 37 1 Male High 37 1 Male High 33 0 Male High 39 1 Male High 43 0 Male High 30 1 Male High 32 0 Male High 33 0 Male High 33 ; run; data statdata.Exact; input A B; datalines; 1 2 1 2 1 2 2 1 2 1 2 2 2 2 ; run; data statdata.Safety; input @1 Unsafe 1. @3 Size 1. @5 Weight 2. @8 Region $9. @18 Type $13.; datalines; 0 2 3 N America Medium 0 3 4 N America Sport/Utility 0 2 3 N America Medium 0 1 3 N America Small 0 2 3 N America Medium 0 2 3 N America Medium 0 3 4 N America Sport/Utility 0 2 3 Asia Medium 0 2 4 N America Medium 0 1 3 N America Small 1 1 3 N America Small 0 1 3 Asia Small 0 2 3 N America Medium 0 2 3 N America Medium 0 2 3 N America Medium 0 3 3 N America Large 0 3 4 N America Large 0 3 4 N America Large 0 3 4 N America Large 0 3 4 N America Large 1 1 3 N America Small 1 2 3 N America Medium 1 2 3 N America Medium 0 3 4 N America Large 1 1 3 N America Sports 0 1 3 N America Sports 0 3 6 N America Sport/Utility 0 3 4 N America Large 0 3 4 N America Large 0 3 3 N America Large 0 1 3 N America Small 1 1 2 N America Small 0 3 4 N America Large 1 1 3 N America Sports 1 1 3 N America Small 0 3 4 N America Large 1 1 3 N America Sports 1 1 3 N America Sports 0 3 1 N America Sport/Utility 0 3 5 N America Sport/Utility 0 3 6 N America Sport/Utility 0 3 5 N America Sport/Utility 1 1 3 N America Small 1 1 2 N America Small 1 3 3 N America Sport/Utility 1 1 2 Asia Small 0 2 3 Asia Medium 1 1 3 Asia Sports 1 1 2 Asia Sports 0 3 4 Asia Sport/Utility 0 2 3 Asia Medium 0 2 4 Asia Medium 0 3 4 Asia Sport/Utility 0 3 4 Asia Sport/Utility 0 3 4 N America Sport/Utility 0 3 3 N America Sport/Utility 0 3 3 N America Sport/Utility 0 2 3 Asia Medium 0 3 4 N America Large 1 1 3 Asia Small 0 2 3 Asia Medium 0 1 2 Asia Sports 0 1 3 Asia Sports 1 1 3 N America Small 0 2 3 N America Medium 0 3 4 N America Large 1 1 2 Asia Small 0 2 4 Asia Medium 1 2 3 Asia Medium 0 1 4 Asia Sports 1 1 3 Asia Sports 1 1 3 Asia Small 0 2 3 Asia Medium 1 2 3 Asia Medium 0 1 4 Asia Sports 0 2 3 N America Medium 0 2 3 N America Medium 0 2 3 N America Medium 0 3 3 N America Large 0 3 4 N America Large 0 2 3 N America Medium 0 2 4 N America Medium 0 3 4 N America Large 1 1 4 N America Sports 0 1 2 N America Small 0 1 2 N America Sports 0 1 2 Asia Small 0 2 3 Asia Medium 1 1 2 Asia Small 1 3 3 Asia Sport/Utility 1 1 2 Asia Small 1 1 3 Asia Small 0 2 3 Asia Medium 1 2 3 Asia Medium 1 1 3 Asia Sports 0 3 5 Asia Sport/Utility ; run; data statdata.market; input pre post @@; datalines; 9.52 10.28 9.63 10.45 7.71 8.51 7.83 8.62 8.97 10.03 8.62 9.45 10.11 9.68 9.96 9.62 8.50 11.84 9.62 11.95 10.29 10.52 10.13 10.67 9.11 11.03 8.95 10.53 10.86 10.70 9.31 10.24 9.59 10.82 9.27 10.16 11.86 12.12 10.15 11.28 12.83 13.11 11.40 12.09 11.19 13.43 11.97 14.45 11.47 12.49 10.06 12.26 11.15 10.67 10.74 11.25 9.99 11.16 7.56 7.33 ; run; data statdata.hosp; input id 1-2 visit 4 code 5 @6 date mmddyy6. ref3p 12 ref2p 13 ref1p 14 ref1a 15 ref2a 16-17 ref3a 18; if ref3p=. then ref3p=0; if ref2p=. then ref2p=0; if ref1p=. then ref1p=0; if ref1a=. then ref1a=0; if ref2a=. then ref2a=0; if ref3a=. then ref3a=0; avgprior = mean(ref3p, ref2p, ref1p); diff1 = ref1a-avgprior; diff2 = ref2a-avgprior; diff3 = ref3a-avgprior; diffbys1 = ref1a-ref3p; diffbys2 = ref2a-ref3p; diffbys3 = ref3a-ref3p; if code < 4 then output; format visit vstfmt. code spcfmt. date mmddyy8.; label id='physician identification number' visit='visit code' code='specialty code' date='date of visit' ref3p='number referrals 3 mnths prior 2 visit' ref2p='number referrals 2 mnths prior 2 visit' ref1p='number referrals 1 mnth prior 2 visit' ref1a='number referrals 1 mnth after visit' ref2a='number referrals 2 mnths after visit' ref3a='number referrals 3 mnths after visit' avgprior='average # referrals prior 2 visit' diff1='# refs 1 mnth after minus average prior' diff2='# refs 2 mnth after minus average prior' diff3='# refs 3 mnth after minus average prior' diffbys1='# refs 1 mnth after minus # 3 mths prior' diffbys2='# refs 2 mnth after minus # 3 mths prior' diffbys3='# refs 3 mnth after minus # 3 mths prior' ; datalines; 01 15100695 02 13103195 01 04 13102795 3 011 06 111023951 1 07 131019953 1 08 111030951221 2 10 13110895 13 111005957641046 14 111030952 3011 15 12111095 1011 16 111030954143045 18 12100995 22 11103195 2 23 11103095 1 24 12110195 011 26 11103195724401 27 111011952234023 28 12110395 1 29 111030952 21032 30 13101995 1 31 13103195 111 1 32 12110395 1 33 12100395 34 12100395 01 35 12110395 2 36 111012956161 4 39 11103195 115 1 42 13102095 1 44 1311019511 45 13102595 47 111005956678114 48 13101895 49 111011954223024 50 12102095 51 12102095 52 15102095 1 54 13103095 1 55 12110895 1 56 13101995 57 11101395 60 11112095 211021 61 15103195 211011 62 12111095 63 111012953223033 03 01101395 1 05 031018952412022 09 021017951 13 3 11 03102595 12 011031953411058 17 03103195 1 01 19 03102595 1 012 20 05101795 21 02100995 1 25 05100695 37 03101795 01 38 04103195 40 03102595 41 02112895 11 1 43 05101795 46 05100995 53 02101195 1 58 03110695 1 59 04103195 1 ; run; data statdata.ven; length brand $ 5; input brand $ wear; datalines; Acme 2.3 Acme 2.1 Acme 2.4 Acme 2.5 Champ 2.2 Champ 2.3 Champ 2.4 Champ 2.6 Ajax 2.2 Ajax 2.0 Ajax 1.9 Ajax 2.1 ; run; data statdata.titanic2; attrib Class length=$9; attrib Age length=$9; attrib Gender length=$9; attrib Survived length=$9; infile datalines dsd; input Class Age Gender Survived ; datalines4; first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,yes first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,male,no first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,yes first,adult,female,no first,adult,female,no first,adult,female,no first,adult,female,no first,child,male,yes first,child,male,yes first,child,male,yes first,child,male,yes first,child,male,yes first,child,female,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,yes second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,male,no second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,yes second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,adult,female,no second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,male,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes second,child,female,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,yes third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no third,adult,male,no 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crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,male,no crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,yes crew,adult,female,no crew,adult,female,no crew,adult,female,no ;;;; run; data statdata.market; input pre post @@; datalines; 9.52 10.28 9.63 10.45 7.71 8.51 7.83 8.62 8.97 10.03 8.62 9.45 10.11 9.68 9.96 9.62 8.50 11.84 9.62 11.95 10.29 10.52 10.13 10.67 9.11 11.03 8.95 10.53 10.86 10.70 9.31 10.24 9.59 10.82 9.27 10.16 11.86 12.12 10.15 11.28 12.83 13.11 11.40 12.09 11.19 13.43 11.97 14.45 11.47 12.49 10.06 12.26 11.15 10.67 10.74 11.25 9.99 11.16 7.56 7.33 ; run; data statdata.hosp; input id 1-2 visit 4 code 5 @6 date mmddyy6. ref3p 12 ref2p 13 ref1p 14 ref1a 15 ref2a 16-17 ref3a 18; if ref3p=. then ref3p=0; if ref2p=. then ref2p=0; if ref1p=. then ref1p=0; if ref1a=. then ref1a=0; if ref2a=. then ref2a=0; if ref3a=. then ref3a=0; avgprior = mean(ref3p, ref2p, ref1p); diff1 = ref1a-avgprior; diff2 = ref2a-avgprior; diff3 = ref3a-avgprior; diffbys1 = ref1a-ref3p; diffbys2 = ref2a-ref3p; diffbys3 = ref3a-ref3p; format visit vstfmt. code spcfmt. date mmddyy8.; label id='physician identification number' visit='visit code' code='specialty code' date='date of visit' ref3p='number referrals 3 mnths prior 2 visit' ref2p='number referrals 2 mnths prior 2 visit' ref1p='number referrals 1 mnth prior 2 visit' ref1a='number referrals 1 mnth after visit' ref2a='number referrals 2 mnths after visit' ref3a='number referrals 3 mnths after visit' avgprior='average # referrals prior 2 visit' diff1='# refs 1 mnth after minus average prior' diff2='# refs 2 mnth after minus average prior' diff3='# refs 3 mnth after minus average prior' diffbys1='# refs 1 mnth after minus # 3 mths prior' diffbys2='# refs 2 mnth after minus # 3 mths prior' diffbys3='# refs 3 mnth after minus # 3 mths prior' ; datalines; 01 15100695 02 13103195 01 04 13102795 3 011 06 111023951 1 07 131019953 1 08 111030951221 2 10 13110895 13 111005957641046 14 111030952 3011 15 12111095 1011 16 111030954143045 18 12100995 22 11103195 2 23 11103095 1 24 12110195 011 26 11103195724401 27 111011952234023 28 12110395 1 29 111030952 21032 30 13101995 1 31 13103195 111 1 32 12110395 1 33 12100395 34 12100395 01 35 12110395 2 36 111012956161 4 39 11103195 115 1 42 13102095 1 44 1311019511 45 13102595 47 111005956678114 48 13101895 49 111011954223024 50 12102095 51 12102095 52 15102095 1 54 13103095 1 55 12110895 1 56 13101995 57 11101395 60 11112095 211021 61 15103195 211011 62 12111095 63 111012953223033 03 01101395 1 05 031018952412022 09 021017951 13 3 11 03102595 12 011031953411058 17 03103195 1 01 19 03102595 1 012 20 05101795 21 02100995 1 25 05100695 37 03101795 01 38 04103195 40 03102595 41 02112895 11 1 43 05101795 46 05100995 53 02101195 1 58 03110695 1 59 04103195 1 ; run; data statdata.hosp; set statdata.hosp; where code < 4; run; data statdata.ven; length brand $ 5; input brand $ wear; datalines; Acme 2.3 Acme 2.1 Acme 2.4 Acme 2.5 Champ 2.2 Champ 2.3 Champ 2.4 Champ 2.6 Ajax 2.2 Ajax 2.0 Ajax 1.9 Ajax 2.1 ; run; data statdata.cars; input Manufacturer $ 1-14 Model $ 15-30 MidPrice CityMPG HighwayMPG EngineSize HorsePower RPM Revolutions FuelTankSize Weight; datalines; Acura Integra 15.9 25 31 1.8 140 6300 2890 13.2 2705 Acura Legend 33.9 18 25 3.2 200 5500 2335 18 3560 Audi 90 29.1 20 26 2.8 172 5500 2280 16.9 3375 Audi 100 37.7 19 26 2.8 172 5500 2535 21.1 3405 BMW 535i 30 22 30 3.5 208 5700 2545 21.1 3640 Buick Century 15.7 22 31 2.2 110 5200 2565 16.4 2880 Buick LeSabre 20.8 19 28 3.8 170 4800 1570 18 3470 Buick Roadmaster 23.7 16 25 5.7 180 4000 1320 23 4105 Buick Riviera 26.3 19 27 3.8 170 4800 1690 18.8 3495 Cadillac DeVille 34.7 16 25 4.9 200 4100 1510 18 3620 Cadillac Seville 40.1 16 25 4.6 295 6000 1985 20 3935 Chevrolet Cavalier 13.4 25 36 2.2 110 5200 2380 15.2 2490 Chevrolet Corsica 11.4 25 34 2.2 110 5200 2665 15.6 2785 Chevrolet Camaro 15.1 19 28 3.4 160 4600 1805 15.5 3240 Chevrolet Lumina 15.9 21 29 2.2 110 5200 2595 16.5 3195 Chevrolet Lumina_APV 16.3 18 23 3.8 170 4800 1690 20 3715 Chevrolet Astro 16.6 15 20 4.3 165 4000 1790 27 4025 Chevrolet Caprice 18.8 17 26 5 170 4200 1350 23 3910 Chevrolet Corvette 38 17 25 5.7 300 5000 1450 20 3380 Chrylser Concorde 18.4 20 28 3.3 153 5300 1990 18 3515 Chrysler LeBaron 15.8 23 28 3 141 5000 2090 16 3085 Chrysler Imperial 29.5 20 26 3.3 147 4800 1785 16 3570 Dodge Colt 9.2 29 33 1.5 92 6000 3285 13.2 2270 Dodge Shadow 11.3 23 29 2.2 93 4800 2595 14 2670 Dodge Spirit 13.3 22 27 2.5 100 4800 2535 16 2970 Dodge Caravan 19 17 21 3 142 5000 1970 20 3705 Dodge Dynasty 15.6 21 27 2.5 100 4800 2465 16 3080 Dodge Stealth 25.8 18 24 3 300 6000 2120 19.8 3805 Eagle Summit 12.2 29 33 1.5 92 6000 2505 13.2 2295 Eagle Vision 19.3 20 28 3.5 214 5800 1980 18 3490 Ford Festiva 7.4 31 33 1.3 63 5000 3150 10 1845 Ford Escort 10.1 23 30 1.8 127 6500 2410 13.2 2530 Ford Tempo 11.3 22 27 2.3 96 4200 2805 15.9 2690 Ford Mustang 15.9 22 29 2.3 105 4600 2285 15.4 2850 Ford Probe 14 24 30 2 115 5500 2340 15.5 2710 Ford Aerostar 19.9 15 20 3 145 4800 2080 21 3735 Ford Taurus 20.2 21 30 3 140 4800 1885 16 3325 Ford Crown_Victor 20.9 18 26 4.6 190 4200 1415 20 3950 Geo Metro 8.4 46 50 1 55 5700 3755 10.6 1695 Geo Storm 12.5 30 36 1.6 90 5400 3250 12.4 2475 Honda Prelude 19.8 24 31 2.3 160 5800 2855 15.9 2865 Honda Civic 12.1 42 46 1.5 102 5900 2650 11.9 2350 Honda Accord 17.5 24 31 2.2 140 5600 2610 17 3040 Hyundai Excel 8 29 33 1.5 81 5500 2710 11.9 2345 Hyundai Elantra 10 22 29 1.8 124 6000 2745 13.7 2620 Hyundai Scoupe 10 26 34 1.5 92 5550 2540 11.9 2285 Hyundai Sonata 13.9 20 27 2 128 6000 2335 17.2 2885 Infiniti Q45 47.9 17 22 4.5 278 6000 1955 22.5 4000 Lexus ES300 28 18 24 3 185 5200 2325 18.5 3510 Lexus SC300 35.2 18 23 3 225 6000 2510 20.6 3515 Lincoln Continental 34.3 17 26 3.8 160 4400 1835 18.4 3695 Lincoln Town_Car 36.1 18 26 4.6 210 4600 1840 20 4055 Mazda 323 8.3 29 37 1.6 82 5000 2370 13.2 2325 Mazda Protege 11.6 28 36 1.8 103 5500 2220 14.5 2440 Mazda 626 16.5 26 34 2.5 164 5600 2505 15.5 2970 Mazda MPV 19.1 18 24 3 155 5000 2240 19.6 3735 Mazda RX-7 32.5 17 25 1.3 255 6500 2325 20 2895 Mercedes-Benz 190E 31.9 20 29 2.3 130 5100 2425 14.5 2920 Mercury Capri 14.1 23 26 1.6 100 5750 2475 11.1 2450 Mercury Cougar 14.9 19 26 3.8 140 3800 1730 18 3610 Mitsubishi Mirage 10.3 29 33 1.5 92 6000 2505 13.2 2295 Mitsubishi Diamante 26.1 18 24 3 202 6000 2210 19 3730 Nissan Sentra 11.8 29 33 1.6 110 6000 2435 13.2 2545 Nissan Altima 15.7 24 30 2.4 150 5600 2130 15.9 3050 Nissan Quest 19.1 17 23 3 151 4800 2065 20 4100 Nissan Maxima 21.5 21 26 3 160 5200 2045 18.5 3200 Oldsmobile Achieva 13.5 24 31 2.3 155 6000 2380 15.2 2910 Oldsmobile Cutlass_Cier 16.3 23 31 2.2 110 5200 2565 16.5 2890 Oldsmobile Silhouette 19.5 18 23 3.8 170 4800 1690 20 3715 Oldsmobile Eighty-Eight 20.7 19 28 3.8 170 4800 1570 18 3470 Plymouth Laser 14.4 23 30 1.8 92 5000 2360 15.9 2640 Pontiac LeMans 9 31 41 1.6 74 5600 3130 13.2 2350 Pontiac Sunbird 11.1 23 31 2 110 5200 2665 15.2 2575 Pontiac Firebird 17.7 19 28 3.4 160 4600 1805 15.5 3240 Pontiac Grand_Prix 18.5 19 27 3.4 200 5000 1890 16.5 3450 Pontiac Bonneville 24.4 19 28 3.8 170 4800 1565 18 3495 Saab 900 28.7 20 26 2.1 140 6000 2910 18 2775 Saturn SL 11.1 28 38 1.9 85 5000 2145 12.8 2495 Subaru Justy 8.4 33 37 1.2 73 5600 2875 9.2 2045 Subaru Loyale 10.9 25 30 1.8 90 5200 3375 15.9 2490 Subaru Legacy 19.5 23 30 2.2 130 5600 2330 15.9 3085 Suzuki Swift 8.6 39 43 1.3 70 6000 3360 10.6 1965 Toyota Tercel 9.8 32 37 1.5 82 5200 3505 11.9 2055 Toyota Celica 18.4 25 32 2.2 135 5400 2405 15.9 2950 Toyota Camry 18.2 22 29 2.2 130 5400 2340 18.5 3030 Toyota Previa 22.7 18 22 2.4 138 5000 2515 19.8 3785 Volkswagen Fox 9.1 25 33 1.8 81 5500 2550 12.4 2240 Volkswagen Eurovan 19.7 17 21 2.5 109 4500 2915 21.1 3960 Volkswagen Passat 20 21 30 2 134 5800 2685 18.5 2985 Volkswagen Corrado 23.3 18 25 2.8 178 5800 2385 18.5 2810 Volvo 240 22.7 21 28 2.3 114 5400 2215 15.8 2985 Volvo 850 26.7 20 28 2.4 168 6200 2310 19.3 3245 ; run; data statdata.sales_inc; set statdata.sales; if Income='Low' then IncLevel=1; else If Income='Medium' then IncLevel=2; else If Income='High' then IncLevel=3; run; %let text1=%str(Your SAS practice files are stored in this location:); %put; %put &text1; %put &filemac; %put; %put &sasmac; options source notes ls=80;