18 ROWS READ ROW C1 C2 C3 C4 C5 C6 C7 C8 C9 1 12 4 12 5 14 13 193 85 146 2 11 4 12 6 13 13 179 52 132 3 12 4 12 5 12 12 192 78 136 4 12 4 12 5 12 12 177 56 141 . . . MTB > name c9='finb' c8='mtb' c7='fina' MTB > describe c1-c9 N MEAN MEDIAN TRMEAN STDEV SEMEAN C1 18 11.111 11.000 11.188 0.963 0.227 C2 18 3.667 4.000 3.750 0.594 0.140 C3 18 12.333 13.000 12.625 1.782 0.420 C4 18 5.222 5.000 5.250 1.003 0.236 C5 18 12.000 12.500 12.250 2.326 0.548 C6 18 11.667 12.000 11.875 1.847 0.435 fina 18 157.50 163.00 159.38 28.12 6.63 mtb 18 56.67 57.50 57.31 17.59 4.15 finb 18 118.44 116.50 119.56 20.11 4.74 MIN MAX Q1 Q3 C1 9.000 12.000 10.000 12.000 C2 2.000 4.000 3.000 4.000 C3 6.000 14.000 12.000 13.000 C4 3.000 7.000 4.750 6.000 C5 6.000 14.000 11.000 14.000 C6 7.000 13.000 11.000 13.000 fina 92.00 193.00 133.50 180.50 mtb 18.00 85.00 49.50 68.00 finb 73.00 146.00 103.00 136.25 MTB > pca c1-c6; SUBC>scores c11-c16. Eigenanalysis of the Correlation Matrix Eigenvalue 2.2380 1.3818 1.2031 0.6652 0.4026 0.1093 Proportion 0.373 0.230 0.201 0.111 0.067 0.018 Cumulative 0.373 0.603 0.804 0.915 0.982 1.000 Variable PC1 PC2 PC3 PC4 PC5 PC6 C1 -0.429 0.365 0.017 0.702 0.436 -0.005 C2 -0.358 0.310 -0.472 -0.610 0.391 0.168 C3 -0.086 -0.180 -0.825 0.294 -0.377 -0.227 C4 0.091 -0.765 -0.127 0.081 0.606 0.132 C5 -0.584 -0.282 0.132 0.030 -0.384 0.643 C6 -0.575 -0.273 0.250 -0.204 -0.026 -0.700 MTB > print c11-c16 ROW C11 C12 C13 C14 C15 C16 1 -1.51832 0.27414 0.22713 0.11074 0.20853 0.150303 2 -0.73141 -0.74580 0.02620 -0.54975 0.52512 0.011085 3 -0.70460 0.66409 -0.02164 0.19596 0.55304 -0.023451 4 -0.70460 0.66409 -0.02164 0.19596 0.55304 -0.023451 5 -1.15454 1.17766 -0.22220 0.16904 -0.27612 -0.661233 6 -0.02007 -1.13935 1.20487 0.43510 -0.07236 0.510071 7 -1.61428 0.07249 -0.69861 0.44013 -0.21480 -0.104029 8 -1.74764 1.69783 0.01774 0.11346 -1.21022 -0.240411 9 0.38454 1.02707 -1.41070 0.84453 0.33685 0.582443 10 3.60360 1.75573 -0.96514 -1.59444 -0.34577 0.097113 11 -0.69250 0.59008 -0.56349 0.48399 0.19005 0.504522 12 -0.33435 -1.22536 -0.45427 -1.11383 -0.13878 -0.110775 13 0.32901 -1.71973 0.26153 0.03571 -0.94793 0.261044 14 0.01771 -1.86759 0.39710 -0.07492 -0.96188 -0.117797 15 3.49093 -0.42343 0.13542 2.14426 0.05927 -0.446302 16 0.74269 -0.78837 -1.30148 -0.75329 0.00802 -0.032854 17 -0.13832 -1.26597 -0.21374 -0.49418 1.45922 -0.409737 18 0.79213 1.25241 3.60291 -0.58847 0.27471 0.053460 MTB > name c11='hwpc1' MTB > let c21=c1 + c2 + c3 + c4 + c5 + c6 MTB > name c21='sumhw' MTB > let c31=(c1-mean(c1))/stdev(c1) MTB > let c32=(c2-mean(c2))/stdev(c2) MTB > let c33=(c3-mean(c3))/stdev(c3) MTB > let c34=(c4-mean(c4))/stdev(c4) MTB > let c35=(c5-mean(c5))/stdev(c5) MTB > let c36=(c6-mean(c6))/stdev(c6) MTB > let c37=c31 + c32 + c33 + c34 + c35 + c36 MTB > name c37='sumsthw' MTB > correlation c1 c2 c3 c4 c5 c6 'sumhw' 'sumsthw' 'hwpc1' 'fina' 'mtb' 'finb' C1 C2 C3 C4 C5 C6 sumhw sumsthw C2 0.274 C3 0.046 0.278 C4 -0.331 -0.263 0.219 C5 0.367 0.213 0.099 0.076 C6 0.320 0.268 -0.089 0.106 0.849 sumhw 0.443 0.397 0.435 0.246 0.884 0.809 sumsthw 0.508 0.537 0.471 0.245 0.790 0.744 0.975 hwpc1 -0.641 -0.536 -0.128 0.136 -0.874 -0.860 -0.888 -0.881 fina 0.365 0.405 -0.322 -0.131 0.504 0.718 0.455 0.467 mtb 0.124 0.411 -0.171 -0.066 0.336 0.530 0.335 0.354 finb 0.225 0.471 -0.137 -0.183 0.331 0.457 0.321 0.353 hwpc1 fina mtb fina -0.664 mtb -0.463 0.769 finb -0.486 0.853 0.733 MTB > correlation 'hwpc1' c12 c13 c14 c15 c16 'sumhw' 'sumsthw' 'fina' 'mtb' 'finb' hwpc1 C12 C13 C14 C15 C16 sumhw sumsthw C12 0.000 C13 -0.000 -0.000 C14 -0.000 0.000 0.000 C15 0.000 -0.000 -0.000 -0.000 C16 0.000 -0.000 0.000 0.000 0.000 sumhw -0.888 -0.384 -0.229 0.095 -0.043 0.002 sumsthw -0.881 -0.294 -0.341 0.072 0.124 0.001 0.975 fina -0.664 0.067 0.313 -0.279 0.231 -0.172 0.455 0.467 mtb -0.463 0.012 0.123 -0.389 0.152 -0.171 0.335 0.354 finb -0.486 0.149 0.069 -0.329 0.133 -0.067 0.321 0.353 fina mtb mtb 0.769 finb 0.853 0.733 MTB > brief 3 MTB > regress 'finb' 3 'mtb' 'fina' 'sumhw' The regression equation is finb = 39.8 + 0.212 mtb + 0.534 fina - 0.312 sumhw Predictor Coef Stdev t-ratio p Constant 39.75 29.38 1.35 0.197 mtb 0.2122 0.2402 0.88 0.392 fina 0.5343 0.1590 3.36 0.005 sumhw -0.3122 0.5800 -0.54 0.599 s = 11.14 R-sq = 74.7% R-sq(adj) = 69.3% Analysis of Variance SOURCE DF SS MS F p Regression 3 5136.1 1712.0 13.79 0.000 Error 14 1738.4 124.2 Total 17 6874.4 SOURCE DF SEQ SS mtb 1 3690.4 fina 1 1409.7 sumhw 1 36.0 Continue? y Obs. mtb finb Fit Stdev.Fit Residual St.Resid 1 85.0 146.00 142.17 5.13 3.83 0.39 2 52.0 132.00 128.01 4.95 3.99 0.40 3 78.0 136.00 141.09 4.51 -5.09 -0.50 4 56.0 141.00 128.41 4.05 12.59 1.21 5 66.0 117.00 129.68 3.18 -12.68 -1.19 6 52.0 113.00 116.34 2.87 -3.34 -0.31 7 53.0 103.00 113.39 4.57 -10.39 -1.02 8 59.0 142.00 124.68 3.22 17.32 1.62 9 62.0 115.00 105.20 5.88 9.80 1.04 10 50.0 115.00 107.24 7.84 7.76 0.98 11 21.0 94.00 100.90 7.48 -6.90 -0.84 12 66.0 92.00 106.93 6.76 -14.93 -1.69 13 43.0 103.00 101.30 4.34 1.70 0.17 14 74.0 137.00 135.88 3.88 1.12 0.11 15 18.0 73.00 78.05 7.33 -5.05 -0.60 16 48.0 121.00 104.58 3.62 16.42 1.56 17 75.0 136.00 137.47 4.00 -1.47 -0.14 18 62.0 116.00 130.67 6.73 -14.67 -1.65 MTB > regress 'finb' 3 'mtb' 'fina' 'sumsthw' The regression equation is finb = 23.5 + 0.215 mtb + 0.525 fina - 0.343 sumsthw Predictor Coef Stdev t-ratio p Constant 23.53 18.03 1.31 0.213 mtb 0.2147 0.2415 0.89 0.389 fina 0.5254 0.1598 3.29 0.005 sumsthw -0.3434 0.9324 -0.37 0.718 s = 11.20 R-sq = 74.4% R-sq(adj) = 69.0% Analysis of Variance SOURCE DF SS MS F p Regression 3 5117.1 1705.7 13.59 0.000 Error 14 1757.3 125.5 Total 17 6874.4 SOURCE DF SEQ SS mtb 1 3690.4 fina 1 1409.7 sumsthw 1 17.0 Continue? y Obs. mtb finb Fit Stdev.Fit Residual St.Resid 1 85.0 146.00 142.27 5.16 3.73 0.38 2 52.0 132.00 127.99 5.02 4.01 0.40 3 78.0 136.00 140.72 4.44 -4.72 -0.46 4 56.0 141.00 128.12 4.05 12.88 1.23 5 66.0 117.00 129.70 3.21 -12.70 -1.18 6 52.0 113.00 116.71 2.81 -3.71 -0.34 7 53.0 103.00 114.00 4.62 -11.00 -1.08 8 59.0 142.00 125.09 3.08 16.91 1.57 9 62.0 115.00 105.03 6.10 9.97 1.06 10 50.0 115.00 105.89 7.38 9.11 1.08 11 21.0 94.00 101.01 7.68 -7.01 -0.86 12 66.0 92.00 107.51 6.71 -15.51 -1.73 13 43.0 103.00 102.14 3.83 0.86 0.08 14 74.0 137.00 136.46 3.99 0.54 0.05 15 18.0 73.00 77.76 7.40 -4.76 -0.57 16 48.0 121.00 104.65 3.75 16.35 1.55 17 75.0 136.00 137.08 4.07 -1.08 -0.10 18 62.0 116.00 129.88 7.31 -13.88 -1.64 MTB > regress 'finb' 3 'mtb' 'fina' 'hwpc1' The regression equation is finb = 16.5 + 0.199 mtb + 0.576 fina + 1.74 hwpc1 Predictor Coef Stdev t-ratio p Constant 16.50 21.08 0.78 0.447 mtb 0.1986 0.2394 0.83 0.421 fina 0.5758 0.1774 3.25 0.006 hwpc1 1.741 2.408 0.72 0.481 s = 11.05 R-sq = 75.1% R-sq(adj) = 69.8% Analysis of Variance SOURCE DF SS MS F p Regression 3 5164.0 1721.3 14.09 0.000 Error 14 1710.5 122.2 Total 17 6874.4 SOURCE DF SEQ SS mtb 1 3690.4 fina 1 1409.7 hwpc1 1 63.9 Continue? y Obs. mtb finb Fit Stdev.Fit Residual St.Resid 1 85.0 146.00 141.87 5.12 4.13 0.42 2 52.0 132.00 128.62 4.89 3.38 0.34 3 78.0 136.00 141.32 4.49 -5.32 -0.53 4 56.0 141.00 128.31 4.00 12.69 1.23 5 66.0 117.00 128.94 3.37 -11.94 -1.13 6 52.0 113.00 116.62 2.77 -3.62 -0.34 7 53.0 103.00 112.31 5.00 -9.31 -0.94 8 59.0 142.00 123.06 4.28 18.94 1.86 9 62.0 115.00 104.34 6.05 10.66 1.15 10 50.0 115.00 108.14 7.40 6.86 0.84 11 21.0 94.00 100.08 7.62 -6.08 -0.76 12 66.0 92.00 106.18 6.84 -14.18 -1.63 13 43.0 103.00 101.62 3.82 1.38 0.13 14 74.0 137.00 137.75 4.45 -0.75 -0.07 15 18.0 73.00 79.13 7.60 -6.13 -0.76 16 48.0 121.00 105.06 3.42 15.94 1.52 17 75.0 136.00 138.83 4.47 -2.83 -0.28 18 62.0 116.00 129.81 4.47 -13.81 -1.37