MTB > read 'e:\cpy\corr.dat' c1-c2 28 ROWS READ ROW C1 C2 1 47 33 2 54 49 3 48 40 4 47 44 . . . MTB > brief 3 MTB > regress c2 1 c1 c3 c4; SUBC> residuals c5. 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 Obs. C1 C2 Fit Stdev.Fit Residual St.Resid 1 47.0 33.000 37.533 0.920 -4.533 -1.02 2 54.0 49.000 44.225 1.414 4.775 1.10 3 48.0 40.000 38.489 0.869 1.511 0.34 4 47.0 44.000 37.533 0.920 6.467 1.45 5 50.0 48.000 40.401 0.910 7.599 1.70 6 45.0 36.000 35.621 1.134 0.379 0.09 7 50.0 35.000 40.401 0.910 -5.401 -1.21 8 56.0 50.000 46.137 1.760 3.863 0.92 9 54.0 46.000 44.225 1.414 1.775 0.41 10 48.0 37.000 38.489 0.869 -1.489 -0.33 11 53.0 40.000 43.269 1.256 -3.269 -0.75 12 47.0 39.000 37.533 0.920 1.467 0.33 13 38.0 32.000 28.930 2.347 3.070 0.79 X 14 47.0 42.000 37.533 0.920 4.467 1.00 15 48.0 39.000 38.489 0.869 0.511 0.11 16 49.0 37.000 39.445 0.866 -2.445 -0.55 17 53.0 42.000 43.269 1.256 -1.269 -0.29 18 53.0 40.000 43.269 1.256 -3.269 -0.75 19 49.0 40.000 39.445 0.866 0.555 0.12 20 52.0 47.000 42.313 1.115 4.687 1.06 21 40.0 37.000 30.842 1.969 6.158 1.50 22 48.0 34.000 38.489 0.869 -4.489 -1.00 23 43.0 21.000 33.710 1.437 -12.710 -2.94R 24 50.0 40.000 40.401 0.910 -0.401 -0.09 25 49.0 34.000 39.445 0.866 -5.445 -1.22 26 52.0 39.000 42.313 1.115 -3.313 -0.75 27 48.0 38.000 38.489 0.869 -0.489 -0.11 28 42.0 34.000 32.754 1.608 1.246 0.29 R denotes an obs. with a large st. resid. X denotes an obs. whose X value gives it large influence. Note: create "standardized residuals" and put in c6. MTB > let c6 = c5/4.557 Note heres all three kinds of residuals: studentized, "raw", standardized MTB > print c3 c5 c6 ROW C3 C5 C6 1 -1.01567 -4.5335 -0.99483 2 1.10204 4.7746 1.04776 3 0.33765 1.5106 0.33148 4 1.44876 6.4665 1.41904 5 1.70160 7.5986 1.66745 6 0.08575 0.3785 0.08306 7 -1.20957 -5.4014 -1.18530 8 0.91880 3.8627 0.84764 9 0.40961 1.7746 0.38943 10 -0.33293 -1.4894 -0.32685 11 -0.74629 -3.2694 -0.71744 12 0.32856 1.4665 0.32182 13 0.78598 3.0704 0.67378 14 1.00068 4.4665 0.98015 15 0.11412 0.5106 0.11204 16 -0.54653 -2.4454 -0.53663 17 -0.28976 -1.2694 -0.27855 18 -0.74629 -3.2694 -0.71744 19 0.12394 0.5546 0.12170 20 1.06058 4.6866 1.02844 21 1.49832 6.1585 1.35143 22 -1.00351 -4.4894 -0.98517 23 -2.93874 -12.7095 -2.78901 24 -0.08989 -0.4014 -0.08809 25 -1.21701 -5.4454 -1.19496 26 -0.74982 -3.3134 -0.72710 27 -0.10940 -0.4894 -0.10740 28 0.29229 1.2465 0.27353