MTB > read 'a:\ed257\nwkt12p1.dat' c1 -c6 54 ROWS READ ROW C1 C2 C3 C4 C5 C6 1 6.7 62 81 2.59 200 2.30103 2 5.1 59 66 1.70 101 2.00432 3 7.4 57 83 2.16 204 2.30963 4 6.5 73 41 2.01 101 2.00432 . . . MTB > print c1-c6 ROW C1 C2 C3 C4 C5 C6 1 6.7 62 81 2.59 200 2.30103 2 5.1 59 66 1.70 101 2.00432 3 7.4 57 83 2.16 204 2.30963 4 6.5 73 41 2.01 101 2.00432 5 7.8 65 115 4.30 509 2.70672 6 5.8 38 72 1.42 80 1.90309 7 5.7 46 63 1.91 80 1.90309 8 3.7 68 81 2.57 127 2.10380 9 6.0 67 93 2.50 202 2.30535 10 3.7 76 94 2.40 203 2.30750 11 6.3 84 83 4.13 329 2.51720 12 6.7 51 43 1.86 65 1.81291 13 5.8 96 114 3.95 830 2.91908 14 5.8 83 88 3.95 330 2.51851 15 7.7 62 67 3.40 168 2.22531 16 7.4 74 68 2.40 217 2.33646 17 6.0 85 28 2.98 87 1.93952 18 3.7 51 41 1.55 34 1.53148 19 7.3 68 74 3.56 215 2.33244 20 5.6 57 87 3.02 172 2.23553 21 5.2 52 76 2.85 109 2.03743 22 3.4 83 53 1.12 136 2.13354 23 6.7 26 68 2.10 70 1.84510 24 5.8 67 86 3.40 220 2.34242 25 6.3 59 100 2.95 276 2.44091 26 5.8 61 73 3.50 144 2.15836 27 5.2 52 86 2.45 181 2.25768 28 11.2 76 90 5.59 574 2.75891 29 5.2 54 56 2.71 72 1.85733 30 5.8 76 59 2.58 178 2.25042 31 3.2 64 65 0.74 71 1.85126 32 8.7 45 23 2.52 58 1.76343 33 5.0 59 73 3.50 116 2.06446 34 5.8 72 93 3.30 295 2.46982 35 5.4 58 70 2.64 115 2.06070 36 5.3 51 99 2.60 184 2.26482 37 2.6 74 86 2.05 118 2.07188 38 4.3 8 119 2.85 120 2.07918 39 4.8 61 76 2.45 151 2.17898 40 5.4 52 88 1.81 148 2.17026 41 5.2 49 72 1.84 95 1.97772 42 3.6 28 99 1.30 75 1.87506 43 8.8 86 88 6.40 483 2.68395 44 6.5 56 77 2.85 153 2.18469 45 3.4 77 93 1.48 191 2.28103 46 6.5 40 84 3.00 123 2.08991 47 4.5 73 106 3.05 311 2.49276 48 4.8 86 101 4.10 398 2.59988 49 5.1 67 77 2.86 158 2.19866 50 3.9 82 103 4.55 310 2.49136 51 6.6 77 46 1.95 124 2.09342 52 6.4 85 40 1.21 125 2.09691 53 6.4 59 85 2.33 198 2.29667 54 8.8 78 72 3.20 313 2.49554 MTB > describe c1-c6 N MEAN MEDIAN TRMEAN STDEV SEMEAN C1 54 5.783 5.800 5.715 1.603 0.218 C2 54 63.24 63.00 64.27 16.90 2.30 C3 54 77.11 79.00 77.60 21.25 2.89 C4 54 2.744 2.595 2.679 1.070 0.146 C5 54 197.2 155.5 178.7 145.3 19.8 C6 54 2.2061 2.1917 2.2008 0.2738 0.0373 MIN MAX Q1 Q3 C1 2.600 11.200 4.950 6.525 C2 8.00 96.00 52.00 76.00 C3 23.00 119.00 66.75 90.75 C4 0.740 6.400 1.995 3.325 C5 34.0 830.0 107.0 217.7 C6 1.5315 2.9191 2.0292 2.3380 MTB > name c1='clotting' c2='prognost' c3='enzyme' c4='liver' MTB > name c5='stime' c6='logstime' MTB > stepwise 'logstime' on 'clotting' 'prognost' 'enzyme' 'liver'; SUBC>fenter=4.0; SUBC>fremove=3.9. **note: this is a forward stepwise NWK 453-4 ***************************** **matches exactly BMDP2R output NWK Fig 12.8 *************************** STEPWISE REGRESSION OF logstime ON 4 PREDICTORS, WITH N = 54 STEP 1 2 3 4 5 CONSTANT 1.6964 1.3888 0.9423 0.4887 0.4836 liver 0.1858 0.1390 0.0818 0.0019 T-RATIO 7.62 6.30 5.46 0.20 enzyme 0.00565 0.00700 0.00947 0.00952 T-RATIO 5.09 9.98 23.91 31.08 prognost 0.00790 0.00925 0.00929 T-RATIO 9.16 21.19 24.30 clotting 0.0685 0.0692 T-RATIO 12.60 16.97 S 0.190 0.156 0.0965 0.0473 0.0469 R-SQ 52.74 68.65 88.29 97.24 97.23 MORE? (YES, NO, SUBCOMMAND, OR HELP) SUBC>y NO VARIABLES ENTERED OR REMOVED MORE? (YES, NO, SUBCOMMAND, OR HELP) SUBC>n ***note:pure Forward Selection NWK p.458; MTBver7 p. 7-16; MTB > stepwise 'logstime' on 'clotting' 'prognost' 'enzyme' 'liver'; SUBC>fenter=1; SUBC>fremove=0. ***pure forward selection--NWK p458; MTBver7 7-16 STEPWISE REGRESSION OF logstime ON 4 PREDICTORS, WITH N = 54 STEP 1 2 3 4 CONSTANT 1.6964 1.3888 0.9423 0.4887 liver 0.1858 0.1390 0.0818 0.0019 T-RATIO 7.62 6.30 5.46 0.20 enzyme 0.00565 0.00700 0.00947 T-RATIO 5.09 9.98 23.91 prognost 0.00790 0.00925 T-RATIO 9.16 21.19 clotting 0.0685 T-RATIO 12.60 S 0.190 0.156 0.0965 0.0473 R-SQ 52.74 68.65 88.29 97.24 MORE? (YES, NO, SUBCOMMAND, OR HELP) SUBC>y NO VARIABLES ENTERED OR REMOVED MORE? (YES, NO, SUBCOMMAND, OR HELP) SUBC>n MTB > stepwise 'logstime' on 'clotting' 'prognost' 'enzyme' 'liver'; SUBC>fenter=10000; SUBC>fremove=1; SUBC>enter 'clotting' 'prognost' 'enzyme' 'liver'. **note backward elimination NWK p.458; MTBver7 p.7-16 STEPWISE REGRESSION OF logstime ON 4 PREDICTORS, WITH N = 54 STEP 1 2 CONSTANT 0.4887 0.4836 clotting 0.0685 0.0692 T-RATIO 12.60 16.97 prognost 0.00925 0.00929 T-RATIO 21.19 24.30 enzyme 0.00947 0.00952 T-RATIO 23.91 31.08 liver 0.0019 T-RATIO 0.20 S 0.0473 0.0469 R-SQ 97.24 97.23 MORE? (YES, NO, SUBCOMMAND, OR HELP) SUBC>y NO VARIABLES ENTERED OR REMOVED MORE? (YES, NO, SUBCOMMAND, OR HELP) SUBC>n