MTB > note: corr.dat data
 MTB > regress c2 1 c1;
 SUBC> predict 38;
 SUBC> predict 51;
 SUBC> predict 57;
 SUBC> predict 35.
 
 The regression equation is
 C2 = - 7.4 + 0.956 C1
 
 Predictor       Coef       Stdev    t-ratio        p
 Constant       -7.40       10.07      -0.73    0.469
 C1            0.9560      0.2065       4.63    0.000
 
 s = 4.557       R-sq = 45.2%     R-sq(adj) = 43.1%
 
 Analysis of Variance
 
 SOURCE       DF          SS          MS         F        p
 Regression    1      444.94      444.94     21.42    0.000
 Error        26      540.02       20.77
 Total        27      984.96
 
 Unusual Observations
 Obs.      C1        C2       Fit Stdev.Fit  Residual   St.Resid
  13     38.0    32.000    28.930     2.347     3.070      0.79 X
  23     43.0    21.000    33.710     1.437   -12.710     -2.94R 
 
 R denotes an obs. with a large st. resid.
 X denotes an obs. whose X value gives it large influence.
 
      Fit  Stdev.Fit         95% C.I.         95% P.I.
   28.930      2.347   ( 24.104, 33.755)  ( 18.390, 39.469) X 
 
   41.357      0.997   ( 39.308, 43.407)  ( 31.766, 50.949)   
 
   47.093      1.942   ( 43.100, 51.087)  ( 36.908, 57.279)   
 
   26.062      2.932   ( 20.032, 32.091)  ( 14.919, 37.204) XX
 
 X  denotes a row with X values away from the center
 XX denotes a row with very extreme X values
 
 
 
 MTB > stop
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