MTB > read 'smsg.dat' c1 c2 c3 43 ROWS READ ROW C1 C2 C3 1 1 2.750 1 2 1 7.400 1 3 1 4.280 1 4 1 5.875 1 . . . MTB > name c2 as 'Y' MTB > name c3 as 'G' MTB > describe c2 c3 N MEAN MEDIAN TRMEAN STDEV SEMEAN Y 43 14.938 13.750 14.960 6.218 0.948 G 43 0.4884 0.0000 0.4872 0.5058 0.0771 MIN MAX Q1 Q3 Y 2.750 26.176 10.444 19.930 G 0.0000 1.0000 0.0000 1.0000 MTB > corr c2 c3 Correlation of Y and G = -0.476 MTB > brief 3 MTB > plot c2 0 to 30 c3 -1 to 2 30+ - Y - * 2 - 2 - 3 * 20+ 4 - 4 * - 2 - 2 - 2 5 10+ 6 - 2 3 - * - * - * 0+ --------+---------+---------+---------+---------+----G -0.60 0.00 0.60 1.20 1.80 MTB > regress c2 1 c3 The regression equation is Y = 17.8 - 5.85 G Predictor Coef Stdev t-ratio Constant 17.793 1.180 15.07 G -5.846 1.689 -3.46 s = 5.536 R-sq = 22.6% R-sq(adj) = 20.7% Analysis of Variance SOURCE DF SS MS Regression 1 367.18 367.18 Error 41 1256.66 30.65 Total 42 1623.84 Obs. G Y Fit Stdev.Fit Residual St.Resid 1 1.00 2.750 11.947 1.208 -9.197 -1.70 2 1.00 7.400 11.947 1.208 -4.547 -0.84 3 1.00 4.280 11.947 1.208 -7.667 -1.42 4 1.00 5.875 11.947 1.208 -6.072 -1.12 5 1.00 8.929 11.947 1.208 -3.018 -0.56 6 1.00 8.690 11.947 1.208 -3.257 -0.60 7 1.00 10.694 11.947 1.208 -1.253 -0.23 8 1.00 9.731 11.947 1.208 -2.216 -0.41 9 1.00 11.560 11.947 1.208 -0.387 -0.07 10 1.00 11.368 11.947 1.208 -0.579 -0.11 11 1.00 10.179 11.947 1.208 -1.768 -0.33 12 1.00 12.862 11.947 1.208 0.915 0.17 13 1.00 10.697 11.947 1.208 -1.250 -0.23 14 1.00 10.444 11.947 1.208 -1.503 -0.28 15 1.00 12.294 11.947 1.208 0.347 0.06 16 1.00 12.467 11.947 1.208 0.520 0.10 17 1.00 10.700 11.947 1.208 -1.247 -0.23 18 1.00 17.615 11.947 1.208 5.668 1.05 19 1.00 26.176 11.947 1.208 14.229 2.63R 20 1.00 21.095 11.947 1.208 9.148 1.69 21 1.00 25.091 11.947 1.208 13.144 2.43R 22 0.00 7.000 17.793 1.180 -10.793 -2.00 23 0.00 8.818 17.793 1.180 -8.975 -1.66 24 0.00 11.170 17.793 1.180 -6.623 -1.22 25 0.00 13.750 17.793 1.180 -4.043 -0.75 26 0.00 19.120 17.793 1.180 1.327 0.25 27 0.00 15.917 17.793 1.180 -1.876 -0.35 28 0.00 12.913 17.793 1.180 -4.880 -0.90 29 0.00 17.909 17.793 1.180 0.116 0.02 30 0.00 13.917 17.793 1.180 -3.876 -0.72 31 0.00 17.357 17.793 1.180 -0.436 -0.08 32 0.00 22.500 17.793 1.180 4.707 0.87 33 0.00 20.500 17.793 1.180 2.707 0.50 34 0.00 19.930 17.793 1.180 2.137 0.40 35 0.00 18.450 17.793 1.180 0.657 0.12 36 0.00 19.330 17.793 1.180 1.537 0.28 37 0.00 22.567 17.793 1.180 4.774 0.88 38 0.00 24.324 17.793 1.180 6.531 1.21 39 0.00 23.750 17.793 1.180 5.957 1.10 40 0.00 18.136 17.793 1.180 0.343 0.06 41 0.00 15.855 17.793 1.180 -1.938 -0.36 42 0.00 22.542 17.793 1.180 4.749 0.88 43 0.00 25.700 17.793 1.180 7.907 1.46 R denotes an obs. with a large st. resid. MTB > twot c2 c1 TWOSAMPLE T FOR Y C1 N MEAN STDEV SE MEAN 1 21 11.95 6.03 1.3 2 22 17.79 5.02 1.1 95 PCT CI FOR MU 1 - MU 2: (-9.3, -2.4) TTEST MU 1 = MU 2 (VS NE): T=-3.45 P=0.0014 DF=38.9 MTB > twot c2 c1; SUBC> pooled. TWOSAMPLE T FOR Y C1 N MEAN STDEV SE MEAN 1 21 11.95 6.03 1.3 2 22 17.79 5.02 1.1 95 PCT CI FOR MU 1 - MU 2: (-9.3, -2.4) TTEST MU 1 = MU 2 (VS NE): T=-3.46 P=0.0013 DF=41.0 MTB > oneway c2 c1 ANALYSIS OF VARIANCE ON Y SOURCE DF SS MS F C1 1 367.2 367.2 11.98 ERROR 41 1256.7 30.7 TOTAL 42 1623.8 POOLED STDEV = 5.536 12.0 15.0 18.0 MTB > oneway c2 c3 ANALYSIS OF VARIANCE ON Y SOURCE DF SS MS F G 1 367.2 367.2 11.98 ERROR 41 1256.7 30.7 TOTAL 42 1623.8 POOLED STDEV = 5.536 12.0 15.0 18.0 MTB > read 'harr.dat' c1 c2 c3 10 ROWS READ ROW C1 C2 C3 1 5 4 5 2 4 5 4 3 6 3 4 4 2 6 7 . . . MTB > stack (c1) (c2) (c3) into c4; SUBC> subscripts c5. MTB > print c4 c5 ROW C4 C5 1 5 1 2 4 1 3 6 1 4 2 1 5 2 1 6 2 1 7 6 1 8 4 1 9 3 1 10 5 1 11 4 2 12 5 2 13 3 2 14 6 2 15 6 2 16 3 2 17 3 2 18 4 2 19 4 2 20 2 2 21 5 3 22 4 3 23 4 3 24 7 3 25 8 3 26 7 3 27 6 3 28 4 3 29 4 3 30 7 3 MTB > describe c4 c5 N MEAN MEDIAN TRMEAN STDEV SEMEAN C4 30 4.500 4.000 4.462 1.656 0.302 C5 30 2.000 2.000 2.000 0.830 0.152 MIN MAX Q1 Q3 C4 2.000 8.000 3.000 6.000 C5 1.000 3.000 1.000 3.000 MTB > code (2,3) to 0 in c5, put in c6 MTB > print c6 C6 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 MTB > code (1,3) to 0, (2) to 1 c5, put in c7 MTB > print c7 C7 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 MTB > brief 3 MTB > regress c4 2 c6 c7 The regression equation is C4 = 5.60 - 1.70 C6 - 1.60 C7 Predictor Coef Stdev t-ratio Constant 5.6000 0.4765 11.75 C6 -1.7000 0.6739 -2.52 C7 -1.6000 0.6739 -2.37 s = 1.507 R-sq = 22.9% R-sq(adj) = 17.2% Analysis of Variance SOURCE DF SS MS Regression 2 18.200 9.100 Error 27 61.300 2.270 Total 29 79.500 SOURCE DF SEQ SS C6 1 5.400 C7 1 12.800 Continue? y Obs. C6 C4 Fit Stdev.Fit Residual St.Resid 1 1.00 5.000 3.900 0.476 1.100 0.77 2 1.00 4.000 3.900 0.476 0.100 0.07 3 1.00 6.000 3.900 0.476 2.100 1.47 4 1.00 2.000 3.900 0.476 -1.900 -1.33 5 1.00 2.000 3.900 0.476 -1.900 -1.33 6 1.00 2.000 3.900 0.476 -1.900 -1.33 7 1.00 6.000 3.900 0.476 2.100 1.47 8 1.00 4.000 3.900 0.476 0.100 0.07 9 1.00 3.000 3.900 0.476 -0.900 -0.63 10 1.00 5.000 3.900 0.476 1.100 0.77 11 0.00 4.000 4.000 0.476 0.000 0.00 12 0.00 5.000 4.000 0.476 1.000 0.70 13 0.00 3.000 4.000 0.476 -1.000 -0.70 14 0.00 6.000 4.000 0.476 2.000 1.40 15 0.00 6.000 4.000 0.476 2.000 1.40 16 0.00 3.000 4.000 0.476 -1.000 -0.70 17 0.00 3.000 4.000 0.476 -1.000 -0.70 18 0.00 4.000 4.000 0.476 0.000 0.00 19 0.00 4.000 4.000 0.476 0.000 0.00 20 0.00 2.000 4.000 0.476 -2.000 -1.40 21 0.00 5.000 5.600 0.476 -0.600 -0.42 22 0.00 4.000 5.600 0.476 -1.600 -1.12 23 0.00 4.000 5.600 0.476 -1.600 -1.12 24 0.00 7.000 5.600 0.476 1.400 0.98 25 0.00 8.000 5.600 0.476 2.400 1.68 26 0.00 7.000 5.600 0.476 1.400 0.98 27 0.00 6.000 5.600 0.476 0.400 0.28 28 0.00 4.000 5.600 0.476 -1.600 -1.12 29 0.00 4.000 5.600 0.476 -1.600 -1.12 30 0.00 7.000 5.600 0.476 1.400 0.98 MTB > aovoneway c1 c2 c3 ANALYSIS OF VARIANCE SOURCE DF SS MS F FACTOR 2 18.20 9.10 4.01 ERROR 27 61.30 2.27 TOTAL 29 79.50 POOLED STDEV = 1.507 3.0 4.0 5.0 6.0 MTB > table c5; SUBC> means c4. ROWS: C5 C4 MEAN 1 3.9000 2 4.0000 3 5.6000 ALL 4.5000