1
 MTB > name c1 'height'
 MTB > name c2 'weight'
 MTB > plot c2 c1;
 SUBC> xlabel 'height in inches';
 SUBC> ylabel 'weight in pounds';
 SUBC> title 'The relationship between height and weight'.
 
                   The relationship between height and weight
 w        -
 e        -                                                        *
 i     210+
 g        -                                        *
 h        -
 t        -                                           *
          -                                                  *
 i     175+
 n        -
          -                                    *
 p        -                              *
 o        -                    *     *
 u     140+
 n        -
 d        -
 s        -   *  *
          -
            --+---------+---------+---------+---------+---------+----
           60.0      63.0      66.0      69.0      72.0      75.0
                                height in inches
 MTB > regress c2 on 1 in c1
 
 The regression equation is
 weight = - 252 + 6.09 height
 
 Predictor       Coef       Stdev    t-ratio        p
 Constant     -252.36       49.23      -5.13    0.000
 height        6.0887      0.7178       8.48    0.000
 
 s = 11.36       R-sq = 90.0%     R-sq(adj) = 88.7%
 
 Analysis of Variance
 
 SOURCE       DF          SS          MS         F        p
 Regression    1      9282.8      9282.8     71.95    0.000
 Error         8      1032.1       129.0
 Total         9     10314.9
 
 
 
1
 MTB > regress c2 on 1 in c1;
 SUBC> predict 70.
 
 The regression equation is
 weight = - 252 + 6.09 height
 
 Predictor       Coef       Stdev    t-ratio        p
 Constant     -252.36       49.23      -5.13    0.000
 height        6.0887      0.7178       8.48    0.000
 
 s = 11.36       R-sq = 90.0%     R-sq(adj) = 88.7%
 
 Analysis of Variance
 
 SOURCE       DF          SS          MS         F        p
 Regression    1      9282.8      9282.8     71.95    0.000
 Error         8      1032.1       129.0
 Total         9     10314.9
 
 
 
      Fit  Stdev.Fit         95% C.I.         95% P.I.
   173.84       3.77   ( 165.14, 182.54)  ( 146.24, 201.45)   
 
 
 
 MTB > regress c2 on 1 in c1;
 SUBC> predict 70;
 SUBC> predict 55;
 SUBC> predict 48;
 SUBC> predict 40.
 
 The regression equation is
 weight = - 252 + 6.09 height
 
 Predictor       Coef       Stdev    t-ratio        p
 Constant     -252.36       49.23      -5.13    0.000
 height        6.0887      0.7178       8.48    0.000
 
 s = 11.36       R-sq = 90.0%     R-sq(adj) = 88.7%
 
 Analysis of Variance
 
 SOURCE       DF          SS          MS         F        p
 Regression    1      9282.8      9282.8     71.95    0.000
 Error         8      1032.1       129.0
 Total         9     10314.9
 
 

 
      Fit  Stdev.Fit         95% C.I.         95% P.I.
   173.84       3.77   ( 165.14, 182.54)  ( 146.24, 201.45)   
 
    82.51      10.27   (  58.83, 106.19)  (  47.19, 117.83) X 
 
    39.89      15.08   (   5.11,  74.67)  (  -3.65,  83.43) XX
 
    -8.82      20.70   ( -56.56,  38.93)  ( -63.28,  45.64) XX
 
 X  denotes a row with X values away from the center
 XX denotes a row with very extreme X values
 
 
 
