————— 10/19/2004 11:27:52 AM ———————————————————— Welcome to Minitab, press F1 for help. MTB > info Information on the Worksheet Column Count Name C1 40 Xi(1) C2 40 Xi(3) C3 40 Xi(5) C4 40 W C5 40 X(1) C6 40 X(3) C7 40 X(5) MTB > # create residual change scores MTB > regress c3 1 c1; SUBC> residuals c8. Regression Analysis: Xi(5) versus Xi(1) The regression equation is Xi(5) = 34.0 + 0.684 Xi(1) Predictor Coef SE Coef T P Constant 34.048 7.826 4.35 0.000 Xi(1) 0.6843 0.1749 3.91 0.000 S = 7.90455 R-Sq = 28.7% R-Sq(adj) = 26.8% MTB > name c8 'resXi5Xi1' MTB > let c9 = c3 - c1 MTB > name c9 'delt15' MTB > regress c9 1 c1; SUBC> residuals c10. Regression Analysis: delt15 versus Xi(1) The regression equation is delt15 = 34.0 - 0.316 Xi(1) Predictor Coef SE Coef T P Constant 34.048 7.826 4.35 0.000 Xi(1) -0.3157 0.1749 -1.80 0.079 S = 7.90455 R-Sq = 7.9% R-Sq(adj) = 5.5% MTB > name c10 'resdelt15Xi1' MTB > brief 1 MTB > regress c8 1 c4 Regression Analysis: resXi5Xi1 versus W The regression equation is resXi5Xi1 = - 9.30 + 0.620 W Predictor Coef SE Coef T P Constant -9.297 6.712 -1.39 0.174 W 0.6201 0.4403 1.41 0.167 S = 7.70596 R-Sq = 5.0% R-Sq(adj) = 2.5% MTB > regress c3 2 c1 c4 Regression Analysis: Xi(5) versus Xi(1), W The regression equation is Xi(5) = 31.2 + 0.239 Xi(1) + 1.50 W Predictor Coef SE Coef T P Constant 31.213 7.546 4.14 0.000 Xi(1) 0.2392 0.2587 0.92 0.361 W 1.5004 0.6678 2.25 0.031 S = 7.51446 R-Sq = 37.3% R-Sq(adj) = 33.9% MTB > #obs score equiv MTB > regress c7 2 c5 c4 Regression Analysis: X(5) versus X(1), W The regression equation is X(5) = 25.7 + 0.145 X(1) + 2.14 W Predictor Coef SE Coef T P Constant 25.690 8.821 2.91 0.006 X(1) 0.1447 0.2759 0.52 0.603 W 2.1431 0.7181 2.98 0.005 S = 8.76994 R-Sq = 38.8% R-Sq(adj) = 35.5% MTB > regress c7 2 c6 c4 Regression Analysis: X(5) versus X(3), W The regression equation is X(5) = 3.04 + 0.876 X(3) + 0.924 W Predictor Coef SE Coef T P Constant 3.038 8.705 0.35 0.729 X(3) 0.8763 0.2100 4.17 0.000 W 0.9240 0.5471 1.69 0.100 S = 7.25908 R-Sq = 58.1% R-Sq(adj) = 55.8% MTB > # so here effects of meas error obscure all relations MTB > regress c8 2 c1 c4 Regression Analysis: resXi5Xi1 versus Xi(1), W The regression equation is resXi5Xi1 = - 2.84 - 0.445 Xi(1) + 1.50 W Predictor Coef SE Coef T P Constant -2.835 7.546 -0.38 0.709 Xi(1) -0.4452 0.2587 -1.72 0.094 W 1.5004 0.6678 2.25 0.031 S = 7.51446 R-Sq = 12.0% R-Sq(adj) = 7.2%