 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 > name c1 = 'clotting' c2 = 'prognost' c3 = 'enzyme' c4 = 'liver' &
 CONT> c6 = 'logstime'
 MTB > corr c1-c6
 
        clotting prognost   enzyme    liver       C5
 prognost  0.090
 enzyme   -0.150   -0.024
 liver     0.502    0.369    0.416
 C5        0.373    0.554    0.580    0.722
 logstime  0.346    0.593    0.665    0.726    0.913
 
 MTB > breg 'logstime' 'clotting' 'prognost' 'enzyme' 'liver';
 SUBC> best 4.
 
 Best Subsets Regression of logstime
 
                                       c p     
                                       l r     
                                       o o e   
                                       t g n l 
                                       t n z i 
                                       i o y v 
               Adj.                    n s m e 
 Vars   R-sq   R-sq    C-p         s   g t e r 
 
    1   52.7   51.8  787.9   0.19002         X 
    1   44.2   43.2  938.7   0.20641       X   
    1   35.2   33.9 1099.7   0.22258     X     
    1   12.0   10.3 1510.1   0.25929   X       
    2   81.3   80.6  283.6   0.12071     X X   
    2   68.7   67.4  507.8   0.15627       X X 
    2   65.0   63.6  573.3   0.16522     X   X 
    2   64.6   63.2  580.0   0.16611   X   X   
    3   97.2   97.1    3.0  0.046880   X X X   
    3   88.3   87.6  161.6  0.096468     X X X 
    3   71.9   70.2  451.9   0.14938   X   X X 
    3   65.0   62.9  574.5   0.16676   X X   X 
    4   97.2   97.0    5.0  0.047337   X X X X 
 
 
 MTB > brief 3
 MTB > regress c6 3 c1 c2 c3
 
 The regression equation is
 logstime = 0.484 + 0.0692 clotting + 0.00929 prognost + 0.00952 enzyme
 
 Predictor       Coef       Stdev    t-ratio        p
 Constant     0.48362     0.04263      11.34    0.000
 clotting    0.069229    0.004078      16.97    0.000
 prognost   0.0092946   0.0003826      24.30    0.000
 enzyme     0.0095233   0.0003064      31.08    0.000
 
 s = 0.04688     R-sq = 97.2%     R-sq(adj) = 97.1%
 
 Analysis of Variance
 
 SOURCE       DF          SS          MS         F        p
 Regression    3      3.8628      1.2876    585.88    0.000
 Error        50      0.1099      0.0022
 Total        53      3.9727
 
 SOURCE       DF      SEQ SS
 clotting      1      0.4768
 prognost      1      1.2636
 enzyme        1      2.1225
 
 Obs.clotting  logstime       Fit Stdev.Fit  Residual   St.Resid
   1      6.7   2.30103   2.29511   0.00761   0.00592      0.13  
   2      5.1   2.00432   2.01361   0.00805  -0.00929     -0.20  
   3      7.4   2.30963   2.31614   0.00997  -0.00651     -0.14  
   4      6.5   2.00432   2.00257   0.01316   0.00175      0.04  
   5      7.8   2.70672   2.72293   0.01647  -0.01621     -0.37  
   6      5.8   1.90309   1.92402   0.01170  -0.02093     -0.46  
   7      5.7   1.90309   1.90574   0.01018  -0.00265     -0.06  
   8      3.7   2.10380   2.14319   0.01083  -0.03939     -0.86  
   9      6.0   2.30535   2.40740   0.00827  -0.10205     -2.21R 
  10      3.7   2.30750   2.34135   0.01258  -0.03385     -0.75  
  11      6.3   2.51720   2.49094   0.01049   0.02626      0.57  
  12      6.7   1.81291   1.83098   0.01336  -0.01807     -0.40  
  13      5.8   2.91908   2.86308   0.01813   0.05600      1.30  
  14      5.8   2.51851   2.49465   0.01046   0.02386      0.52  
  15      7.7   2.22531   2.23101   0.01025  -0.00570     -0.12  
  16      7.4   2.33646   2.33130   0.00992   0.00516      0.11  
  17      6.0   1.93952   1.95569   0.01815  -0.01617     -0.37  
  18      3.7   1.53148   1.60425   0.01671  -0.07277     -1.66  
  19      7.3   2.33244   2.32575   0.00891   0.00669      0.15  
  20      5.6   2.23553   2.22962   0.00742   0.00591      0.13  
  21      5.2   2.03743   2.05070   0.00797  -0.01327     -0.29  
  22      3.4   2.13354   1.99519   0.01673   0.13835      3.16R 
  23      6.7   1.84510   1.83670   0.01651   0.00840      0.19  
  24      5.8   2.34242   2.32689   0.00709   0.01553      0.34  
  25      6.3   2.44091   2.42047   0.01009   0.02044      0.45  
  26      5.8   2.15836   2.14732   0.00656   0.01104      0.24  
  27      5.2   2.25768   2.14593   0.00827   0.11175      2.42R 
  28     11.2   2.75891   2.82247   0.02399  -0.06356     -1.58 X
  29      5.2   1.85733   1.87882   0.01021  -0.02149     -0.47  
  30      5.8   2.25042   2.15341   0.00973   0.09701      2.12R 
  31      3.2   1.85126   1.91902   0.01333  -0.06776     -1.51  
  32      8.7   1.76343   1.72320   0.02155   0.04023      0.97  
  33      5.0   2.06446   2.07335   0.00745  -0.00889     -0.19  
  34      5.8   2.46982   2.44003   0.00872   0.02979      0.65  
  35      5.4   2.06070   2.06317   0.00724  -0.00247     -0.05  
  36      5.3   2.26482   2.26736   0.01026  -0.00254     -0.06  
  37      2.6   2.07188   2.17042   0.01526  -0.09854     -2.22R 
  38      4.3   2.07918   1.98893   0.02525   0.09025      2.28RX
  39      4.8   2.17898   2.10666   0.00758   0.07232      1.56  
  40      5.4   2.17026   2.17883   0.00835  -0.00857     -0.19  
  41      5.2   1.97772   1.98472   0.00880  -0.00700     -0.15  
  42      3.6   1.87506   1.93590   0.01750  -0.06084     -1.40  
  43      8.8   2.68395   2.73022   0.01652  -0.04627     -1.05  
  44      6.5   2.18469   2.18740   0.00764  -0.00271     -0.06  
  45      3.4   2.28103   2.32035   0.01349  -0.03932     -0.88  
  46      6.5   2.08991   2.10535   0.01178  -0.01544     -0.34  
  47      4.5   2.49276   2.48313   0.01228   0.00963      0.21  
  48      4.8   2.59988   2.57711   0.01360   0.02277      0.51  
  49      5.1   2.19866   2.19272   0.00716   0.00594      0.13  
  50      3.9   2.49136   2.49667   0.01438  -0.00531     -0.12  
  51      6.6   2.09342   2.09429   0.01253  -0.00087     -0.02  
  52      6.4   2.09691   2.09766   0.01522  -0.00075     -0.02  
  53      6.4   2.29667   2.28455   0.00761   0.01212      0.26  
  54      8.8   2.49554   2.50349   0.01443  -0.00795     -0.18  
 
 R denotes an obs. with a large st. resid.
 X denotes an obs. whose X value gives it large influence.
 
 
 MTB > stop
 *** Minitab Release 7.2 *** Minitab, Inc. ***
 Storage available 16179
 
