"MODEL" Y = C + N1055 * INDICATOR (1055, N, 1055) + N1091 * INDICATOR (1.0910000000#+03, N, 1.0910000000#+03) + N1105 * INDICATOR (1105, ROUND(N), 1105) + N1136 * ( 1 - SIGN(ABS(ENTIER(N+.5)-1136)) ) + BED * X1 + TAS * X2 + PER * X3 + MED * X4 + FAC * X5 + BED2 * (X1*X1) + TAS2 * (X2*X2) + PER2 * (X3*X3) + MED2 * (X4*X4) + FAC2 * (X5*X5) + BEDTAS * (X1*X2) + BEDPER * (X1*X3) + BEDMED * (X1*X4) + BEDFAC * (X1*X5) + TASPER * (X2*X3) + TASMED * (X2*X4) + TASFAC * (X2*X5) + PERMED * (X3*X4) + PERFAC * (X3*X5) + MEDFAC * (X4*X5); "INPUT" P, Q, P * [ Y, X1, X2, X3, X4, X5, N ]; "OPTIONS" PROCESS SUBMODELS(10,15), RESIDUAL ANALYSIS, TRANSFORMED DATA MATRIX, CORRELATION MATRIX; Transformed data matrix - page 1 ======================= obs.no. C N1055 N1091 N1105 N1136 BED TAS PER MED FAC 1 1.000 0.000 0.000 0.000 0.000 6.215 3.638 6.123 14.176 2.773 2 1.000 0.000 0.000 0.000 0.000 5.823 3.367 5.635 13.138 2.197 3 1.000 0.000 0.000 0.000 0.000 5.958 3.401 5.793 13.985 2.398 4 1.000 0.000 0.000 0.000 0.000 6.282 3.555 6.140 14.769 2.565 5 1.000 0.000 0.000 0.000 0.000 6.663 4.007 6.519 14.761 2.565 6 1.000 0.000 0.000 0.000 0.000 5.886 3.784 5.749 13.196 2.079 7 1.000 0.000 0.000 0.000 0.000 6.151 3.555 5.905 14.108 2.485 8 1.000 0.000 0.000 0.000 0.000 5.883 3.466 5.700 13.862 2.398 9 1.000 0.000 0.000 0.000 0.000 5.333 2.833 5.242 13.422 1.609 10 1.000 0.000 0.000 0.000 0.000 5.337 2.708 5.081 13.022 1.609 11 1.000 0.000 0.000 0.000 0.000 4.905 2.833 4.820 12.649 1.609 12 1.000 0.000 0.000 0.000 0.000 5.565 3.091 5.602 13.615 2.398 13 1.000 0.000 0.000 0.000 0.000 5.886 3.178 5.509 13.096 2.079 14 1.000 0.000 0.000 0.000 0.000 5.635 3.497 5.609 13.444 1.946 15 1.000 0.000 0.000 0.000 0.000 4.927 2.833 4.691 13.698 1.946 16 1.000 0.000 0.000 0.000 0.000 6.011 3.401 5.580 14.199 2.485 17 1.000 0.000 0.000 0.000 0.000 5.598 3.497 5.288 13.957 2.398 18 1.000 0.000 0.000 0.000 0.000 5.204 3.091 4.984 13.411 0.000 19 1.000 0.000 0.000 0.000 0.000 5.762 3.761 5.930 13.545 2.303 20 1.000 1.000 0.000 0.000 0.000 5.846 3.258 5.617 13.941 1.946 21 1.000 0.000 0.000 0.000 0.000 5.425 2.890 5.193 12.965 1.386 22 1.000 0.000 0.000 0.000 0.000 4.977 2.485 4.543 12.727 0.693 23 1.000 0.000 0.000 0.000 0.000 6.353 3.664 6.047 14.538 2.639 24 1.000 0.000 0.000 0.000 0.000 5.704 3.526 5.323 13.462 2.197 25 1.000 0.000 0.000 0.000 0.000 6.427 3.829 6.506 15.109 2.773 26 1.000 0.000 0.000 0.000 0.000 5.900 3.526 5.951 14.369 1.946 27 1.000 0.000 0.000 0.000 0.000 6.392 3.611 6.625 14.988 2.773 28 1.000 0.000 0.000 0.000 0.000 5.011 2.890 4.727 12.518 0.000 29 1.000 0.000 0.000 0.000 0.000 4.736 2.303 4.290 11.669 0.000 30 1.000 0.000 0.000 0.000 0.000 6.246 3.583 6.349 14.579 2.565 31 1.000 0.000 0.000 0.000 0.000 6.324 3.871 6.240 14.409 2.833 32 1.000 0.000 0.000 0.000 0.000 6.080 3.583 6.026 14.243 2.639 33 1.000 0.000 0.000 0.000 0.000 5.366 3.258 5.056 13.117 1.386 34 1.000 0.000 0.000 0.000 0.000 5.136 2.944 4.779 12.683 1.386 35 1.000 0.000 0.000 0.000 0.000 5.690 2.996 5.429 13.380 1.946 36 1.000 0.000 0.000 0.000 0.000 5.602 2.944 5.247 13.126 2.197 37 1.000 0.000 0.000 0.000 0.000 5.361 2.996 4.868 13.287 0.693 38 1.000 0.000 0.000 0.000 0.000 6.525 3.555 6.288 14.982 2.708 39 1.000 0.000 0.000 0.000 0.000 5.313 3.091 4.890 13.014 1.609 40 1.000 0.000 0.000 0.000 0.000 5.908 3.526 5.835 14.301 2.197 41 1.000 0.000 0.000 0.000 0.000 6.045 4.043 6.006 14.036 2.485 42 1.000 0.000 1.000 0.000 0.000 6.215 4.263 6.014 14.497 2.565 43 1.000 0.000 0.000 0.000 0.000 5.666 3.466 5.591 14.026 2.303 44 1.000 0.000 0.000 0.000 0.000 5.883 3.526 5.864 14.214 2.197 45 1.000 0.000 0.000 0.000 0.000 4.625 2.485 4.477 12.917 1.386 46 1.000 0.000 0.000 0.000 0.000 5.481 2.833 5.170 13.380 2.079 47 1.000 0.000 0.000 0.000 0.000 6.849 4.190 6.753 15.173 2.944 48 1.000 0.000 0.000 1.000 0.000 5.298 2.773 5.056 11.914 1.386 49 1.000 0.000 0.000 0.000 0.000 5.242 2.890 4.898 12.485 1.609 50 1.000 0.000 0.000 0.000 0.000 5.981 3.332 5.710 13.804 2.565 Transformed data matrix - page 2 ======================= obs.no. C N1055 N1091 N1105 N1136 BED TAS PER MED FAC 51 1.000 0.000 0.000 0.000 0.000 5.838 3.332 5.557 13.235 2.079 52 1.000 0.000 0.000 0.000 0.000 5.784 3.091 5.631 13.373 2.197 53 1.000 0.000 0.000 0.000 0.000 5.843 3.091 5.617 13.703 2.197 54 1.000 0.000 0.000 0.000 0.000 5.784 3.583 5.572 13.641 1.792 55 1.000 0.000 0.000 0.000 0.000 5.727 3.784 5.753 14.174 2.485 56 1.000 0.000 0.000 0.000 0.000 5.545 3.219 5.451 13.045 2.485 57 1.000 0.000 0.000 0.000 0.000 5.858 3.258 5.525 13.467 2.485 58 1.000 0.000 0.000 0.000 0.000 6.236 3.367 6.009 14.037 2.079 59 1.000 0.000 0.000 0.000 0.000 5.808 3.367 5.628 13.794 1.946 60 1.000 0.000 0.000 0.000 0.000 5.897 3.497 5.684 13.832 2.079 61 1.000 0.000 0.000 0.000 0.000 6.685 3.807 6.582 14.834 2.944 62 1.000 0.000 0.000 0.000 0.000 5.434 3.044 5.509 14.670 2.197 63 1.000 0.000 0.000 0.000 0.000 5.398 2.996 5.153 12.891 2.079 64 1.000 0.000 0.000 0.000 0.000 5.298 3.434 5.004 12.965 1.386 65 1.000 0.000 0.000 0.000 1.000 6.653 3.784 6.571 14.627 2.773 66 1.000 0.000 0.000 0.000 0.000 5.451 2.773 5.298 12.615 1.946 67 1.000 0.000 0.000 0.000 0.000 5.421 2.565 5.063 12.817 1.946 68 1.000 0.000 0.000 0.000 0.000 5.624 2.996 5.429 13.287 1.792 69 1.000 0.000 0.000 0.000 0.000 4.718 2.398 4.407 11.903 0.000 70 1.000 0.000 0.000 0.000 0.000 5.037 2.565 4.331 12.361 0.000 71 1.000 0.000 0.000 0.000 0.000 4.977 2.833 4.736 12.358 1.609 72 1.000 0.000 0.000 0.000 0.000 5.056 2.398 4.754 12.835 0.693 73 1.000 0.000 0.000 0.000 0.000 6.242 3.367 5.999 14.289 2.565 74 1.000 0.000 0.000 0.000 0.000 5.953 3.091 5.778 13.562 2.485 75 1.000 0.000 0.000 0.000 0.000 5.900 3.555 5.656 13.742 2.485 76 1.000 0.000 0.000 0.000 0.000 6.363 3.466 6.125 14.654 2.639 77 1.000 0.000 0.000 0.000 0.000 5.984 3.258 5.940 14.223 2.197 78 1.000 0.000 0.000 0.000 0.000 5.749 2.996 5.704 13.881 1.099 79 1.000 0.000 0.000 0.000 0.000 5.799 3.091 5.398 14.126 2.079 80 1.000 0.000 0.000 0.000 0.000 5.730 3.135 5.293 13.799 2.079 81 1.000 0.000 0.000 0.000 0.000 6.548 3.761 6.435 14.638 2.833 82 1.000 0.000 0.000 0.000 0.000 4.883 2.485 4.143 12.621 0.000 83 1.000 0.000 0.000 0.000 0.000 5.371 2.944 4.844 13.182 1.609 84 1.000 0.000 0.000 0.000 0.000 5.746 2.890 5.533 13.817 2.197 85 1.000 0.000 0.000 0.000 0.000 5.568 2.996 5.231 13.248 1.946 86 1.000 0.000 0.000 0.000 0.000 6.635 3.871 6.681 15.671 2.890 87 1.000 0.000 0.000 0.000 0.000 5.945 3.135 5.924 15.215 2.197 88 1.000 0.000 0.000 0.000 0.000 6.489 4.357 6.554 15.474 2.833 89 1.000 0.000 0.000 0.000 0.000 6.418 4.043 6.333 14.161 2.485 90 1.000 0.000 0.000 0.000 0.000 5.598 3.466 5.451 13.675 1.386 91 1.000 0.000 0.000 0.000 0.000 5.011 2.639 4.635 12.712 1.386 92 1.000 0.000 0.000 0.000 0.000 5.771 3.178 5.464 13.079 1.792 93 1.000 0.000 0.000 0.000 0.000 6.310 3.611 6.176 14.551 2.485 94 1.000 0.000 0.000 0.000 0.000 5.572 2.890 5.130 13.346 1.609 95 1.000 0.000 0.000 0.000 0.000 5.971 3.434 5.727 13.996 2.303 96 1.000 0.000 0.000 0.000 0.000 5.252 2.890 5.081 13.087 0.693 97 1.000 0.000 0.000 0.000 0.000 5.094 2.773 4.868 13.061 1.792 98 1.000 0.000 0.000 0.000 0.000 5.883 2.833 5.576 13.876 2.197 99 1.000 0.000 0.000 0.000 0.000 5.481 2.773 5.278 13.833 1.609 100 1.000 0.000 0.000 0.000 0.000 4.804 2.639 4.700 12.588 0.693 Transformed data matrix - page 3 ======================= obs.no. C N1055 N1091 N1105 N1136 BED TAS PER MED FAC 101 1.000 0.000 0.000 0.000 0.000 4.779 2.773 4.304 11.816 1.099 102 1.000 0.000 0.000 0.000 0.000 5.537 3.044 5.303 13.277 1.609 103 1.000 0.000 0.000 0.000 0.000 5.557 3.332 5.159 13.564 1.609 104 1.000 0.000 0.000 0.000 0.000 5.838 3.044 5.497 13.863 2.197 105 1.000 0.000 0.000 0.000 0.000 6.064 3.807 6.089 14.627 2.639 106 1.000 0.000 0.000 0.000 0.000 5.226 2.773 5.024 13.488 2.079 107 1.000 0.000 0.000 0.000 0.000 6.153 3.497 6.045 14.368 2.565 Transformed data matrix - page 4 ======================= obs.no. BED2 TAS2 PER2 MED2 FAC2 BEDTAS BEDPER BEDMED BEDFAC TASPER 1 38.621 13.232 37.485 200.952 7.687 22.606 38.049 88.097 17.231 22.271 2 33.907 11.339 31.751 172.607 4.828 19.608 32.811 76.503 12.794 18.974 3 35.503 11.568 33.559 195.577 5.750 20.266 34.517 83.328 14.288 19.703 4 39.467 12.640 37.698 218.127 6.579 22.335 38.573 92.784 16.113 21.829 5 44.397 16.058 42.499 217.877 6.579 26.701 43.438 98.352 17.090 26.124 6 34.646 14.320 33.056 174.141 4.324 22.274 33.842 77.675 12.240 21.757 7 37.830 12.640 34.873 199.037 6.175 21.867 36.322 86.773 15.284 20.995 8 34.613 12.011 32.495 192.144 5.750 20.390 33.537 81.552 14.108 19.756 9 28.438 8.027 27.476 180.143 2.590 15.109 27.953 71.574 8.582 14.851 10 28.489 7.334 25.821 169.578 2.590 14.454 27.122 69.506 8.590 13.761 11 24.062 8.027 23.235 159.988 2.590 13.898 23.645 62.045 7.895 13.657 12 30.964 9.554 31.384 185.360 5.750 17.200 31.173 75.759 13.343 17.316 13 34.646 10.100 30.353 171.499 4.324 18.707 32.429 77.083 12.240 17.509 14 31.751 12.226 31.466 180.753 3.787 19.702 31.608 75.757 10.965 19.614 15 24.278 8.027 22.009 187.622 3.787 13.960 23.116 67.492 9.588 13.291 16 36.136 11.568 31.133 201.604 6.175 20.446 33.541 85.353 14.937 18.978 17 31.342 12.226 27.966 194.785 5.750 19.575 29.606 78.134 13.424 18.490 18 27.082 9.554 24.836 179.859 0.000 16.086 25.935 69.792 0.000 15.404 19 33.202 14.147 35.160 183.468 5.302 21.672 34.167 78.048 13.268 22.302 20 34.180 10.615 31.548 194.341 3.787 19.048 32.838 81.502 11.377 18.300 21 29.431 8.354 26.967 168.084 1.922 15.680 28.172 70.334 7.521 15.010 22 24.768 6.175 20.642 161.979 0.480 12.367 22.611 63.339 3.449 11.290 23 40.356 13.422 36.571 211.358 6.965 23.273 38.417 92.355 16.765 22.155 24 32.533 12.435 28.335 181.238 4.828 20.114 30.361 76.787 12.532 18.771 25 41.300 14.658 42.325 228.285 7.687 24.604 41.809 97.099 17.818 24.908 26 34.809 12.435 35.410 206.474 3.787 20.805 35.108 84.777 11.481 20.984 27 40.856 13.039 43.896 224.650 7.687 23.081 42.349 95.804 17.722 23.924 28 25.106 8.354 22.348 156.711 0.000 14.483 23.687 62.725 0.000 13.664 29 22.432 5.302 18.408 136.164 0.000 10.906 20.321 55.266 0.000 9.879 30 39.014 12.841 40.312 212.560 6.579 22.383 39.657 91.065 16.021 22.752 31 39.998 14.986 38.941 207.629 8.027 24.483 39.466 91.130 17.918 24.157 32 36.965 12.841 36.311 202.869 6.965 21.787 36.637 86.597 16.045 21.594 33 28.794 10.615 25.566 172.067 1.922 17.483 27.132 70.388 7.439 16.474 34 26.376 8.669 22.840 160.850 1.922 15.122 24.545 65.136 7.120 14.072 35 32.381 8.974 29.478 179.012 3.787 17.047 30.895 76.135 11.073 16.265 36 31.384 8.669 27.531 172.297 4.828 16.495 29.394 73.534 12.309 15.449 37 28.744 8.974 23.693 176.549 0.480 16.061 26.096 71.236 3.716 14.582 38 42.576 12.640 39.537 224.466 7.334 23.198 41.028 97.759 17.670 22.355 39 28.230 9.554 23.915 169.375 2.590 16.423 25.983 69.148 8.551 15.116 40 34.906 12.435 34.045 204.505 4.828 20.834 34.473 84.489 12.981 20.576 41 36.542 16.347 36.076 197.018 6.175 24.441 36.308 84.849 15.021 24.284 42 38.621 18.171 36.165 210.168 6.579 26.491 37.373 90.094 15.940 25.635 43 32.108 12.011 31.259 196.720 5.302 19.638 31.681 79.475 13.047 19.377 44 34.613 12.435 34.382 202.026 4.828 20.747 34.498 83.623 12.927 20.678 45 21.391 6.175 20.047 166.849 1.922 11.493 20.708 59.741 6.412 11.126 46 30.037 8.027 26.734 179.023 4.324 15.528 28.337 73.330 11.396 14.649 47 46.910 17.554 45.609 230.234 8.669 28.696 46.255 103.925 20.166 28.295 48 28.072 7.687 25.566 141.940 1.922 14.690 26.789 63.123 7.345 14.019 49 27.475 8.354 23.989 155.875 2.590 15.151 25.673 65.443 8.436 14.157 50 35.777 11.104 32.609 190.554 6.579 19.931 34.156 82.568 15.342 19.028 Transformed data matrix - page 5 ======================= obs.no. BED2 TAS2 PER2 MED2 FAC2 BEDTAS BEDPER BEDMED BEDFAC TASPER 51 34.079 11.104 30.878 175.154 4.324 19.452 32.439 77.259 12.139 18.516 52 33.452 9.554 31.711 178.828 4.828 17.878 32.570 77.345 12.708 17.406 53 34.146 9.554 31.548 187.769 4.828 18.062 32.822 80.073 12.839 17.361 54 33.452 12.841 31.049 186.083 3.211 20.726 32.228 78.898 10.363 19.968 55 32.796 14.320 33.092 200.910 6.175 21.671 32.944 81.173 14.231 21.769 56 30.749 10.361 29.714 170.176 6.175 17.849 30.227 72.338 13.779 17.546 57 34.315 10.615 30.531 181.355 6.175 19.086 32.368 78.887 14.556 18.003 58 38.893 11.339 36.106 197.040 4.324 21.000 37.473 87.541 12.968 20.234 59 33.734 11.339 31.670 190.275 3.787 19.558 32.686 80.117 11.302 18.950 60 34.777 12.226 32.303 191.333 4.324 20.620 33.517 81.572 12.263 19.873 61 44.684 14.491 43.323 220.053 8.669 25.446 43.998 99.161 19.682 25.056 62 29.525 9.269 30.353 215.210 4.828 16.543 29.936 79.713 11.939 16.773 63 29.141 8.974 26.556 166.184 4.324 16.171 27.818 69.590 11.225 15.438 64 28.072 11.792 25.039 168.104 1.922 18.194 26.512 68.695 7.345 17.184 65 44.261 14.320 43.177 213.956 7.687 25.176 43.716 97.314 18.446 24.866 66 29.713 7.687 28.072 159.136 3.787 15.113 28.881 68.764 10.607 14.690 67 29.382 6.579 25.630 164.280 3.787 13.903 27.442 69.475 10.548 12.985 68 31.629 8.974 29.478 176.541 3.211 16.848 30.535 74.725 10.077 16.265 69 22.264 5.750 19.419 141.672 0.000 11.314 20.793 56.162 0.000 10.567 70 25.371 6.579 18.755 152.792 0.000 12.919 21.814 62.262 0.000 11.108 71 24.768 8.027 22.432 152.731 2.590 14.100 23.571 61.504 8.010 13.419 72 25.565 5.750 22.596 164.747 0.480 12.124 24.035 64.898 3.504 11.399 73 38.965 11.339 35.988 204.170 6.579 21.019 37.447 89.194 16.011 20.200 74 35.441 9.554 33.381 183.921 6.175 18.401 34.395 80.736 14.793 17.859 75 34.809 12.640 31.990 188.830 6.175 20.976 33.370 81.074 14.661 20.109 76 40.488 12.011 37.512 214.736 6.965 22.052 38.971 93.243 16.793 21.226 77 35.807 10.615 35.285 202.281 4.828 19.496 35.545 85.106 13.148 19.354 78 33.056 8.974 32.533 192.681 1.207 17.223 32.793 79.807 6.316 17.087 79 33.630 9.554 29.140 199.540 4.324 17.925 31.305 81.917 12.059 16.686 80 32.834 9.831 28.019 190.418 4.324 17.967 30.331 79.071 11.915 16.597 81 42.879 14.147 41.403 214.268 8.027 24.629 42.135 95.852 18.552 24.202 82 23.842 6.175 17.165 159.281 0.000 12.133 20.230 61.624 0.000 10.295 83 28.843 8.669 23.466 173.754 2.590 15.813 26.016 70.793 8.643 14.263 84 33.019 8.354 30.618 190.916 4.828 16.609 31.796 79.397 12.626 15.994 85 31.006 8.974 27.365 175.519 3.787 16.681 29.129 73.771 10.835 15.671 86 44.018 14.986 44.634 245.590 8.354 25.684 44.325 103.973 19.177 25.863 87 35.348 9.831 35.097 231.486 4.828 18.642 35.222 90.457 13.063 18.576 88 42.110 18.981 42.954 239.452 8.027 28.271 42.530 100.415 18.385 28.553 89 41.196 16.347 40.111 200.530 6.175 25.950 40.650 90.890 15.949 25.606 90 31.342 12.011 29.714 187.010 1.922 19.402 30.517 76.559 7.761 18.892 91 25.106 6.965 21.480 161.602 1.922 13.223 23.223 63.696 6.946 12.231 92 33.309 10.100 29.853 171.058 3.211 18.342 31.534 75.484 10.341 17.365 93 39.815 13.039 38.141 211.733 6.175 22.784 38.969 91.816 15.679 22.300 94 31.049 8.354 26.315 178.119 2.590 16.106 28.585 74.367 8.968 14.827 95 35.656 11.792 32.797 195.878 5.302 20.505 34.197 83.572 13.750 19.666 96 27.587 8.354 25.821 171.265 0.480 15.181 26.689 68.736 3.640 14.687 97 25.947 7.687 23.693 170.600 3.211 14.123 24.794 66.532 9.127 13.496 98 34.613 8.027 31.091 192.554 4.828 16.669 32.805 81.639 12.927 15.798 99 30.037 7.687 27.859 191.339 2.590 15.196 28.927 75.811 8.820 14.634 100 23.078 6.965 22.094 158.450 0.480 12.678 22.581 60.471 3.330 12.405 Transformed data matrix - page 6 ======================= obs.no. BED2 TAS2 PER2 MED2 FAC2 BEDTAS BEDPER BEDMED BEDFAC TASPER 101 22.840 7.687 18.525 139.615 1.207 13.251 20.570 56.469 5.250 11.933 102 30.662 9.269 28.125 176.281 2.590 16.858 29.366 73.519 8.912 16.146 103 30.878 11.104 26.616 183.988 2.590 18.516 28.668 75.374 8.943 17.191 104 34.079 9.269 30.219 192.190 4.828 17.773 32.091 80.930 12.827 16.736 105 36.770 14.491 37.076 213.945 6.965 23.083 36.923 88.694 16.003 23.179 106 27.308 7.687 25.240 181.938 4.324 14.489 26.253 70.486 10.866 13.929 107 37.856 12.226 36.542 206.432 6.579 21.513 37.193 88.400 15.781 21.136 Transformed data matrix - page 7 ======================= obs.no. TASMED TASFAC PERMED PERFAC MEDFAC dep.var. 1 51.566 10.086 86.791 16.975 39.304 16.405 2 44.240 7.399 74.030 12.381 28.867 15.980 3 47.565 8.156 81.015 13.891 33.534 16.158 4 52.509 9.119 90.681 15.748 37.881 16.520 5 59.150 10.278 96.227 16.721 37.860 16.792 6 49.937 7.869 75.871 11.955 27.440 16.107 7 50.158 8.835 83.313 14.674 35.057 16.320 8 48.040 8.310 79.017 13.669 33.239 15.560 9 38.026 4.560 70.353 8.436 21.601 16.009 10 35.265 4.358 66.171 8.178 20.958 15.586 11 35.836 4.560 60.970 7.758 20.357 14.945 12 42.083 7.412 76.271 13.433 32.647 15.814 13 41.620 6.609 72.149 11.456 27.231 16.062 14 47.009 6.804 75.416 10.915 26.162 15.812 15 38.808 5.513 64.260 9.129 26.654 15.039 16 48.293 8.452 79.225 13.865 35.282 16.188 17 48.799 8.384 73.806 12.681 33.466 15.820 18 41.454 0.000 66.836 0.000 0.000 15.417 19 50.946 8.661 80.317 13.653 31.189 16.118 20 45.420 6.340 78.301 10.930 27.127 18.372 21 37.473 4.007 67.325 7.199 17.973 15.612 22 31.626 1.722 57.823 3.149 8.821 15.078 23 53.262 9.669 87.918 15.960 38.368 16.512 24 47.474 7.748 71.661 11.696 29.580 15.781 25 57.847 10.615 98.297 18.038 41.891 16.665 26 50.672 6.862 85.506 11.579 27.961 16.083 27 54.121 10.012 99.304 18.370 41.557 16.596 28 36.183 0.000 59.179 0.000 0.000 15.219 29 26.869 0.000 50.065 0.000 0.000 14.937 30 52.245 9.191 92.567 16.285 37.395 16.453 31 55.781 10.968 89.918 17.680 40.825 16.491 32 51.040 9.457 85.828 15.903 37.589 16.269 33 42.738 4.517 66.325 7.009 18.185 15.583 34 37.343 4.082 60.612 6.625 17.582 15.372 35 40.081 5.829 72.642 10.565 26.035 15.850 36 38.649 6.469 68.873 11.529 28.841 15.753 37 39.804 2.076 64.676 3.374 9.209 15.559 38 53.266 9.628 94.205 17.028 40.573 16.704 39 40.228 4.975 63.645 7.870 20.945 15.411 40 50.429 7.748 83.441 12.820 31.421 16.133 41 56.750 10.047 84.307 14.925 34.879 16.248 42 61.797 10.933 87.182 15.425 37.184 14.181 43 48.609 7.980 78.417 12.874 32.296 15.832 44 50.123 7.748 83.343 12.884 31.230 16.112 45 32.097 3.445 57.834 6.207 17.907 14.714 46 37.908 5.891 69.181 10.751 27.822 15.644 47 63.572 12.336 102.473 19.885 44.677 17.092 48 33.032 3.844 60.239 7.009 16.516 17.500 49 36.087 4.652 61.149 7.883 20.093 15.224 50 45.998 8.547 78.828 14.647 35.406 16.193 Transformed data matrix - page 8 ======================= obs.no. TASMED TASFAC PERMED PERFAC MEDFAC dep.var. 51 44.100 6.929 73.542 11.555 27.520 15.914 52 41.335 6.792 75.304 12.373 29.382 15.939 53 42.356 6.792 76.966 12.341 30.108 16.027 54 48.883 6.421 76.011 9.984 24.442 15.956 55 53.638 9.403 81.539 14.295 35.222 15.862 56 41.991 7.999 71.110 13.545 32.416 15.861 57 43.876 8.096 74.411 13.730 33.464 16.129 58 47.267 7.002 84.346 12.495 29.189 16.437 59 46.449 6.552 77.628 10.951 26.842 15.998 60 48.365 7.271 78.617 11.818 28.763 16.059 61 56.469 11.208 97.639 19.380 43.678 16.846 62 44.663 6.689 80.822 12.105 32.233 15.626 63 38.618 6.229 66.432 10.716 26.806 15.627 64 44.523 4.761 64.878 6.937 17.974 15.392 65 55.352 10.492 96.114 18.218 40.555 15.339 66 34.976 5.395 66.838 10.310 24.547 15.597 67 32.875 4.991 64.888 9.851 24.941 15.581 68 39.804 5.368 72.139 9.728 23.807 15.845 69 28.541 0.000 52.451 0.000 0.000 14.848 70 31.705 0.000 53.532 0.000 0.000 15.172 71 35.014 4.560 58.532 7.622 19.890 15.164 72 30.778 1.662 61.014 3.295 8.896 15.256 73 48.115 8.637 85.718 15.387 36.649 16.444 74 41.919 7.681 78.355 14.357 33.700 16.170 75 48.855 8.835 77.722 14.054 34.146 16.062 76 50.786 9.146 89.750 16.164 38.673 16.569 77 46.338 7.159 84.484 13.052 31.250 16.263 78 41.583 3.291 79.174 6.266 15.250 15.916 79 43.663 6.427 76.254 11.225 29.373 15.978 80 43.267 6.520 73.043 11.007 28.694 16.703 81 55.056 10.656 94.188 18.230 41.472 16.812 82 31.361 0.000 52.289 0.000 0.000 14.886 83 38.812 4.739 63.854 7.796 21.214 15.531 84 39.937 6.351 76.456 12.158 30.359 15.959 85 39.688 5.829 69.304 10.179 25.780 15.718 86 60.667 11.189 104.698 19.310 45.296 16.863 87 47.706 6.889 90.136 13.017 33.430 16.098 88 67.417 12.343 101.417 18.569 43.842 16.677 89 57.254 10.047 89.685 15.738 35.188 16.596 90 47.394 4.804 74.544 7.557 18.958 15.846 91 33.549 3.659 58.918 6.425 17.623 15.131 92 41.566 5.695 71.461 9.790 23.435 16.023 93 52.542 8.973 89.865 15.346 36.158 16.513 94 38.576 4.652 68.464 8.256 21.479 15.667 95 48.061 7.907 80.151 13.187 32.226 16.123 96 37.826 2.003 66.499 3.522 9.070 15.474 97 36.214 4.968 63.576 8.722 23.403 15.262 98 39.315 6.225 77.374 12.251 30.489 16.130 99 38.352 4.462 73.010 8.495 22.262 15.768 100 33.220 1.829 59.168 3.258 8.725 14.999 Transformed data matrix - page 9 ======================= obs.no. TASMED TASFAC PERMED PERFAC MEDFAC dep.var. 101 32.761 3.046 50.857 4.728 12.981 14.913 102 40.422 4.900 70.412 8.535 21.368 15.691 103 45.199 5.363 69.979 8.303 21.830 15.812 104 42.207 6.689 76.209 12.078 30.460 15.918 105 55.680 10.046 89.064 16.070 38.602 16.344 106 37.398 5.765 67.764 10.447 28.048 15.374 107 50.237 8.968 86.853 15.505 36.852 16.307 Control information =================== transformed variable denoted by parameter mean standard deviation minimum maximum C 1.000000 0.000000 1.000000 1.000000 N1055 0.009346 0.096674 0.000000 1.000000 N1091 0.009346 0.096674 0.000000 1.000000 N1105 0.009346 0.096674 0.000000 1.000000 N1136 0.009346 0.096674 0.000000 1.000000 BED 5.718973 0.499388 4.625000 6.849100 TAS 3.239721 0.440309 2.302600 4.356700 PER 5.510410 0.595479 4.143105 6.753433 MED 13.658696 0.817116 11.668931 15.671299 FAC 1.957297 0.714438 0.000000 2.944400 BED2 32.953708 5.708891 21.390625 46.910171 TAS2 10.687850 2.892626 5.301967 18.980835 PER2 30.715903 6.553950 17.165318 45.608854 MED2 187.221413 22.332877 136.163941 245.589598 FAC2 4.336663 2.285606 0.000000 8.669491 BEDTAS 18.712693 3.990144 10.905574 28.695674 BEDPER 31.799401 6.107885 20.229952 46.254936 BEDMED 78.464702 11.131568 55.266389 103.972797 BEDFAC 11.484572 4.751404 0.000000 20.166490 TASPER 18.076376 4.216354 9.879276 28.553415 TASMED 44.526644 8.253730 26.868880 67.416645 TASFAC 6.570162 2.888322 0.000000 12.343402 PERMED 75.693721 12.326543 50.065401 104.697773 PERFAC 11.138791 4.738094 0.000000 19.884807 MEDFAC 27.173636 10.753192 0.000000 45.296321 dep.var. 15.914378 0.613283 14.180704 18.372424 Number of observations : 107 Correlation matrix of the variables - part 1 =================================== C N1055 N1091 N1105 N1136 BED TAS PER MED FAC C 1.000000 N1055 * 1.000000 N1091 * -0.009434 1.000000 N1105 * -0.009434 -0.009434 1.000000 N1136 * -0.009434 -0.009434 -0.009434 1.000000 BED * 0.024901 0.096851 -0.082204 0.182499 1.000000 TAS * 0.004073 0.226723 -0.103528 0.120673 0.848457 1.000000 PER * 0.017427 0.082481 -0.074429 0.173791 0.969171 0.863105 1.000000 MED * 0.033670 0.100136 -0.208382 0.115669 0.868263 0.775167 0.889372 1.000000 FAC * -0.001557 0.082993 -0.077993 0.111363 0.822876 0.735051 0.838238 0.759971 1.000000 BED2 * 0.020968 0.096879 -0.083446 0.193284 0.998587 0.847492 0.968055 0.868984 0.814520 TAS2 * -0.002450 0.252439 -0.101226 0.122540 0.837631 0.996615 0.853069 0.766898 0.715578 PER2 * 0.012389 0.081132 -0.076687 0.185537 0.968031 0.862652 0.997830 0.890582 0.824226 MED2 * 0.031110 0.100266 -0.197863 0.116819 0.867375 0.773962 0.889223 0.999223 0.753896 FAC2 * -0.023488 0.095726 -0.103103 0.143058 0.877965 0.784837 0.884905 0.812161 0.957774 BEDTAS * 0.008204 0.190231 -0.098380 0.158069 0.939123 0.975772 0.936222 0.841198 0.786889 BEDPER * 0.016590 0.089047 -0.080044 0.190384 0.989085 0.862226 0.992025 0.887232 0.826719 BEDMED * 0.026631 0.101950 -0.134493 0.165240 0.977472 0.845284 0.967356 0.951294 0.815937 BEDFAC * -0.002219 0.091503 -0.085019 0.142972 0.898205 0.792133 0.902635 0.817128 0.985853 TASPER * 0.005174 0.174933 -0.093908 0.157134 0.930061 0.972029 0.952379 0.852972 0.793051 TASMED * 0.010562 0.204192 -0.135900 0.127995 0.896664 0.978803 0.914130 0.884374 0.771260 TASFAC * -0.007778 0.147418 -0.092119 0.132507 0.891551 0.872154 0.905677 0.820118 0.964795 PERMED * 0.020642 0.090948 -0.122349 0.161662 0.956786 0.852643 0.984724 0.952519 0.821943 PERFAC * -0.004308 0.088270 -0.085048 0.145813 0.901127 0.803621 0.917373 0.830313 0.980485 MEDFAC * -0.000423 0.090842 -0.096717 0.121441 0.865030 0.772273 0.880917 0.828060 0.991882 dep.var. * 0.391125 -0.275863 0.252367 -0.091572 0.741081 0.564072 0.726601 0.615745 0.606594 Correlation matrix of the variables - part 2 =================================== BED2 TAS2 PER2 MED2 FAC2 BEDTAS BEDPER BEDMED BEDFAC TASPER BED2 1.000000 TAS2 0.839463 1.000000 PER2 0.970066 0.856182 1.000000 MED2 0.869513 0.767460 0.892329 1.000000 FAC2 0.878140 0.775904 0.883295 0.811610 1.000000 BEDTAS 0.940908 0.973621 0.938987 0.841706 0.850768 1.000000 BEDPER 0.990810 0.854915 0.993982 0.888390 0.887746 0.946796 1.000000 BEDMED 0.978915 0.837403 0.969643 0.951915 0.878887 0.930860 0.980930 1.000000 BEDFAC 0.894495 0.777772 0.895242 0.814035 0.982071 0.858867 0.902068 0.890233 1.000000 TASPER 0.932152 0.970517 0.955272 0.854094 0.855470 0.994374 0.951912 0.930486 0.861851 1.000000 TASMED 0.898195 0.977057 0.916799 0.884857 0.832674 0.984419 0.915082 0.922360 0.835613 0.985803 TASFAC 0.889314 0.863873 0.900928 0.818066 0.973844 0.910017 0.902737 0.888744 0.984275 0.913621 PERMED 0.958385 0.845437 0.986549 0.953812 0.880111 0.927408 0.981144 0.987948 0.889916 0.942721 PERFAC 0.898340 0.790816 0.911648 0.828132 0.984081 0.868561 0.912818 0.898419 0.997943 0.876903 MEDFAC 0.860089 0.756773 0.871872 0.824503 0.975880 0.831448 0.873559 0.873314 0.994747 0.838788 dep.var. 0.734260 0.542866 0.719091 0.616509 0.620937 0.647560 0.731463 0.710693 0.655138 0.647990 Correlation matrix of the variables - part 3 =================================== TASMED TASFAC PERMED PERFAC MEDFAC dep.var. TASMED 1.000000 TASFAC 0.897666 1.000000 PERMED 0.928374 0.894674 1.000000 PERFAC 0.849283 0.986523 0.905621 1.000000 MEDFAC 0.823435 0.979031 0.878501 0.993410 1.000000 dep.var. 0.605377 0.626000 0.702148 0.657619 0.631234 1.000000 Multiple correlation coefficient 0.983513 (adjusted 0.978635) ================================ Proportion of variation explained 0.967297 (adjusted 0.957726) ================================= Standard deviation of the error term 0.126095 ==================================== Regression parameters ===================== right tail parameter estimate standard deviation F - ratio probability C 10.5867314299 6.8302103303 2.402457 0.124996 N1055 2.3227195485 0.1295407115 321.500012 0.000000 N1091 -2.2297335162 0.1813466469 151.177397 0.000000 N1105 1.9874281750 0.1818911440 119.387752 0.000000 N1136 -1.4461182524 0.1402908981 106.254816 0.000000 BED -1.8631782628 3.1283483329 0.354714 0.553097 TAS -1.3454392658 1.7116275387 0.617888 0.434099 PER 4.8524318122 3.2801238415 2.188459 0.142880 MED -0.3843191109 1.2581024592 0.093315 0.760778 FAC -0.9530813104 1.0863390760 0.769713 0.382869 BED2 0.4877619589 0.7795853274 0.391461 0.533270 TAS2 -0.0238151290 0.2395051688 0.009887 0.921036 PER2 1.0875896625 0.6540642455 2.764963 0.100167 MED2 -0.0002824409 0.0730459421 0.000015 0.996924 FAC2 -0.0047157865 0.0683944753 0.004754 0.945197 BEDTAS 0.3546145766 0.6326715070 0.314164 0.576664 BEDPER -1.9082400463 1.2740660381 2.243273 0.138036 BEDMED 0.4406144839 0.3070202376 2.059603 0.155053 BEDFAC 0.2899137280 0.3355898387 0.746311 0.390167 TASPER 0.0274944289 0.6029350904 0.002079 0.963739 TASMED -0.0272447138 0.1691794524 0.025934 0.872458 TASFAC -0.1807799761 0.1881362136 0.923328 0.339428 PERMED -0.3976986213 0.3622352950 1.205387 0.275461 PERFAC -0.2510425794 0.2703866710 0.862034 0.355895 MEDFAC 0.0922308524 0.1047114881 0.775825 0.380995 Correlation matrix of the estimates - part 1 =================================== C N1055 N1091 N1105 N1136 BED TAS PER MED FAC C 1.000000 N1055 0.008774 1.000000 N1091 -0.034836 -0.040281 1.000000 N1105 -0.406529 -0.001427 -0.019191 1.000000 N1136 0.053302 -0.003582 -0.056508 0.020762 1.000000 BED -0.608630 0.008938 0.138455 0.098144 -0.049044 1.000000 TAS -0.001927 -0.003317 0.245156 0.237023 -0.079365 -0.011752 1.000000 PER 0.572712 -0.008013 -0.161999 -0.412955 0.071579 -0.747707 -0.397049 1.000000 MED -0.834516 -0.003447 -0.019490 0.569187 -0.044789 0.273261 0.094098 -0.592885 1.000000 FAC 0.552808 -0.011148 -0.027917 0.061295 0.032264 -0.286853 0.125635 -0.092233 -0.210472 1.000000 BED2 0.088631 0.069626 -0.061248 0.039193 0.025792 -0.402821 0.003588 0.195567 0.132752 0.069436 TAS2 -0.012334 0.094978 -0.541677 0.082726 -0.012065 -0.166938 0.049791 0.041781 0.121990 0.003996 PER2 0.153620 0.093009 -0.193008 -0.172020 0.038511 -0.349691 -0.355629 0.491393 -0.139563 -0.163756 MED2 0.555612 0.021496 0.063369 -0.596651 -0.059780 -0.011019 -0.105834 0.468051 -0.884343 -0.038593 FAC2 0.210853 0.057492 -0.031090 0.132430 0.066821 -0.170316 0.112229 -0.157266 0.066041 0.595073 BEDTAS 0.006303 0.010448 -0.315771 -0.033143 0.125788 -0.076272 -0.579936 0.265652 -0.012479 -0.035837 BEDPER -0.112772 -0.079897 0.126950 0.012840 -0.097498 0.407783 0.225891 -0.368957 -0.026875 0.056772 BEDMED 0.501029 -0.036935 -0.047830 -0.162221 0.088778 -0.613725 -0.082135 0.655460 -0.434142 0.071001 BEDFAC -0.296851 0.068001 0.087052 -0.005254 -0.042232 0.491882 -0.066096 -0.174438 -0.006997 -0.490203 TASPER -0.036870 -0.046980 0.521389 0.082566 -0.010165 0.154950 0.439428 -0.275440 0.015456 0.005882 TASMED 0.034378 -0.006185 -0.082854 -0.304036 -0.102202 0.024222 -0.578629 0.276458 -0.145552 -0.103004 TASFAC 0.119685 -0.025451 0.033560 0.039641 -0.069523 -0.035230 0.496266 -0.186115 -0.065542 0.337072 PERMED -0.445795 0.013512 0.011773 0.472969 0.038490 0.376682 0.287691 -0.755458 0.642728 0.192195 PERFAC 0.202661 -0.070204 -0.114074 -0.032759 0.028965 -0.318566 -0.127511 0.294165 -0.121706 0.175026 MEDFAC -0.327880 -0.005008 0.012352 -0.039589 0.021365 -0.057396 -0.102460 0.099270 0.315781 -0.539287 Correlation matrix of the estimates - part 2 =================================== BED2 TAS2 PER2 MED2 FAC2 BEDTAS BEDPER BEDMED BEDFAC TASPER BED2 1.000000 TAS2 0.147145 1.000000 PER2 0.596543 0.183604 1.000000 MED2 -0.140357 -0.123988 0.137824 1.000000 FAC2 0.058463 0.067511 0.045100 -0.210718 1.000000 BEDTAS -0.118437 0.044502 0.352699 -0.072450 0.090597 1.000000 BEDPER -0.873516 -0.105353 -0.861316 0.087017 -0.056080 -0.223117 1.000000 BEDMED -0.304266 -0.016842 0.216108 0.168483 0.114248 0.210992 0.016577 1.000000 BEDFAC 0.058132 -0.084113 0.318282 0.183728 -0.362510 -0.118716 -0.227109 -0.211575 1.000000 TASPER 0.000302 -0.531191 -0.396314 0.008146 0.022327 -0.711655 0.171568 -0.078475 0.145618 1.000000 TASMED 0.079605 -0.005202 0.181538 0.256514 -0.312795 -0.092636 -0.018986 -0.128612 0.105022 -0.292772 TASFAC 0.024692 -0.089421 -0.150099 0.052162 0.046061 -0.287817 0.151857 -0.116462 -0.135929 -0.005919 PERMED 0.298389 0.058088 -0.313296 -0.641408 0.138485 -0.095895 -0.067202 -0.749716 -0.004229 0.132904 PERFAC -0.135550 0.098816 -0.417710 0.000949 -0.270660 0.141555 0.272141 0.097425 -0.639794 -0.195632 MEDFAC -0.014159 0.036075 0.187506 -0.206142 0.122796 0.148238 -0.075793 0.155541 -0.170881 0.000314 Correlation matrix of the estimates - part 3 =================================== TASMED TASFAC PERMED PERFAC MEDFAC TASMED 1.000000 TASFAC -0.008067 1.000000 PERMED -0.313009 0.132881 1.000000 PERFAC 0.108892 -0.124668 -0.014432 1.000000 MEDFAC -0.122264 -0.378387 -0.201666 -0.217684 1.000000 Analysis of variance ==================== source of right tail variation df sum of squares mean square F - ratio probability --------------------------------------------------------------------------------------------------------------- total 107 27139.483682 --------------------------------------------------------------------------------------------------------------- mean 1 27099.615438 27099.615438 1704379.123522 0.000000 regression 24 38.564444 1.606852 101.059912 0.000000 residual 82 1.303799 0.015900 --------------------------------------------------------------------------------------------------------------- regression null hypothesis : N1055 = N1091 = N1105 = N1136 = BED = TAS = PER = MED = FAC = BED2 = TAS2 = PER2 = MED2 = FAC2 = BEDTAS = BEDPER = BEDMED = BEDFAC = TASPER = TASMED = TASFAC = PERMED = PERFAC = MEDFAC = 0 Residual analysis - page 1 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 1 16.404831 16.383408 0.039648 0.021423 0.194070 0.178969 2 15.980087 15.985338 0.045820 -0.005251 -0.047569 -0.044698 3 16.157871 16.151374 0.025440 0.006497 0.058859 0.052608 4 16.519832 16.494201 0.033642 0.025631 0.232193 0.210910 5 16.791780 16.841174 0.062098 -0.049393 -0.447461 -0.450078 6 16.106874 16.077981 0.072701 0.028893 0.261743 0.280438 7 16.319778 16.340324 0.027069 -0.020546 -0.186133 -0.166833 8 15.560216 16.064462 0.028046 -0.504246 -4.568029 -4.101670 9 16.008726 15.566349 0.040189 0.442377 4.007550 3.701308 10 15.586373 15.540052 0.032102 0.046320 0.419623 0.379861 11 14.945373 15.080794 0.065878 -0.135422 -1.226802 -1.259527 12 15.814110 15.812989 0.064996 0.001121 0.010154 0.010373 13 16.061786 16.023325 0.064592 0.038461 0.348425 0.355152 14 15.812313 15.868049 0.039467 -0.055736 -0.504918 -0.465397 15 15.038542 15.036254 0.103478 0.002288 0.020728 0.031753 16 16.187862 16.312412 0.066061 -0.124550 -1.128315 -1.159625 17 15.819904 15.772232 0.074127 0.047672 0.431867 0.467345 18 15.416646 15.382595 0.105375 0.034051 0.308475 0.491683 19 16.118336 16.072731 0.093211 0.045604 0.413136 0.537020 20 18.372424 18.372424 0.126095 -0.000000 -0.000000 0.000000 21 15.611814 15.628147 0.033602 -0.016333 -0.147964 -0.134390 22 15.078043 15.111598 0.056365 -0.033555 -0.303979 -0.297484 23 16.511801 16.585182 0.047220 -0.073381 -0.664772 -0.627621 24 15.781488 15.868498 0.061823 -0.087011 -0.788243 -0.791730 25 16.664901 16.632981 0.044373 0.031920 0.289168 0.270441 26 16.083130 16.153118 0.050118 -0.069988 -0.634032 -0.604872 27 16.595678 16.649438 0.088754 -0.053760 -0.487018 -0.600203 28 15.219340 15.225666 0.080547 -0.006326 -0.057312 -0.065210 29 14.937168 14.866753 0.081133 0.070415 0.637901 0.729489 30 16.453076 16.481898 0.047962 -0.028823 -0.261107 -0.247155 31 16.491365 16.492984 0.041704 -0.001619 -0.014668 -0.013606 32 16.269176 16.270951 0.033295 -0.001776 -0.016086 -0.014600 33 15.583160 15.525492 0.040966 0.057668 0.522423 0.483570 34 15.372327 15.270123 0.035563 0.102204 0.925876 0.844823 35 15.850014 15.881233 0.024902 -0.031219 -0.282816 -0.252555 36 15.753382 15.785879 0.042946 -0.032497 -0.294393 -0.274105 37 15.559355 15.526318 0.058072 0.033037 0.299287 0.295166 38 16.703670 16.742556 0.060706 -0.038886 -0.352270 -0.351841 39 15.410615 15.468095 0.036738 -0.057480 -0.520715 -0.476516 40 16.133077 16.116146 0.031662 0.016931 0.153381 0.138716 41 16.248234 16.221829 0.061917 0.026405 0.239205 0.240380 42 14.180704 14.180704 0.126095 -0.000000 -0.000000 0.000000 43 15.831998 15.838912 0.038021 -0.006914 -0.062636 -0.057509 44 16.112393 16.100948 0.031917 0.011445 0.103681 0.093819 45 14.713575 14.742893 0.078529 -0.029318 -0.265593 -0.297168 46 15.644060 15.698153 0.041238 -0.054093 -0.490033 -0.453946 47 17.091944 17.020974 0.065528 0.070971 0.642933 0.658773 48 17.500395 17.500395 0.126095 0.000000 0.000000 0.000000 49 15.223503 15.385670 0.039191 -0.162167 -1.469088 -1.353079 50 16.193073 16.167130 0.034547 0.025943 0.235025 0.213930 Residual analysis - page 2 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 51 15.913927 15.995907 0.036010 -0.081980 -0.742672 -0.678399 52 15.938625 15.979628 0.036110 -0.041003 -0.371453 -0.339391 53 16.026881 16.040785 0.024992 -0.013904 -0.125956 -0.112496 54 15.955863 15.982621 0.038630 -0.026759 -0.242410 -0.222929 55 15.861845 15.865360 0.074061 -0.003515 -0.031844 -0.034444 56 15.860819 15.702573 0.066520 0.158245 1.433563 1.477242 57 16.129192 16.030617 0.046395 0.098574 0.892999 0.840724 58 16.437373 16.393915 0.058054 0.043458 0.393695 0.388242 59 15.997957 16.008668 0.028867 -0.010711 -0.097030 -0.087259 60 16.059149 16.090307 0.026960 -0.031158 -0.282265 -0.252949 61 16.845552 16.825275 0.054575 0.020276 0.183685 0.178373 62 15.625522 15.627540 0.095312 -0.002018 -0.018281 -0.024443 63 15.627020 15.558324 0.037748 0.068696 0.622323 0.570977 64 15.392264 15.430093 0.073605 -0.037829 -0.342698 -0.369484 65 15.338887 15.338887 0.126095 0.000000 0.000000 0.000000 66 15.597206 15.676273 0.085153 -0.079067 -0.716281 -0.850186 67 15.580690 15.621952 0.067666 -0.041262 -0.373797 -0.387795 68 15.844684 15.827680 0.029052 0.017003 0.154036 0.138574 69 14.847721 14.913878 0.074393 -0.066157 -0.599323 -0.649792 70 15.172493 15.129256 0.094271 0.043237 0.391687 0.516300 71 15.163543 15.108274 0.054277 0.055269 0.500691 0.485603 72 15.255831 15.221087 0.068177 0.034744 0.314750 0.327542 73 16.444106 16.434901 0.036033 0.009205 0.083392 0.076180 74 16.170273 16.129712 0.052650 0.040561 0.367448 0.354006 75 16.062091 16.062996 0.039184 -0.000905 -0.008198 -0.007550 76 16.569191 16.575007 0.041864 -0.005816 -0.052686 -0.048896 77 16.263450 16.204265 0.032447 0.059186 0.536170 0.485728 78 15.916139 15.985102 0.098641 -0.068963 -0.624745 -0.877956 79 15.977799 16.080563 0.053089 -0.102764 -0.930949 -0.898484 80 16.703259 15.991431 0.044203 0.711829 6.448550 6.027670 81 16.811973 16.704333 0.041941 0.107640 0.975124 0.905179 82 14.886002 14.990583 0.096971 -0.104580 -0.947405 -1.297496 83 15.530788 15.591134 0.051538 -0.060346 -0.546685 -0.524377 84 15.958779 15.971621 0.044783 -0.012842 -0.116341 -0.108950 85 15.717694 15.755854 0.026391 -0.038159 -0.345689 -0.309477 86 16.862551 16.829862 0.066634 0.032688 0.296127 0.305353 87 16.098098 16.163080 0.092991 -0.064983 -0.588685 -0.763037 88 16.676902 16.696620 0.095776 -0.019717 -0.178623 -0.240403 89 16.595720 16.611696 0.065677 -0.015976 -0.144731 -0.148422 90 15.845716 15.817472 0.046324 0.028245 0.255873 0.240837 91 15.130883 15.166184 0.043673 -0.035301 -0.319800 -0.298430 92 16.022770 15.934030 0.044431 0.088740 0.803909 0.751985 93 16.512625 16.503060 0.027352 0.009565 0.086650 0.077705 94 15.667486 15.777319 0.038414 -0.109833 -0.994993 -0.914503 95 16.122580 16.169853 0.024055 -0.047273 -0.428256 -0.381916 96 15.473884 15.479959 0.042332 -0.006075 -0.055032 -0.051144 97 15.262316 15.262093 0.039679 0.000223 0.002023 0.001866 98 16.129980 16.105023 0.066529 0.024957 0.226085 0.232985 99 15.768368 15.691434 0.047346 0.076934 0.696955 0.658294 100 14.998943 15.045964 0.078497 -0.047021 -0.425968 -0.476485 Residual analysis - page 3 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 101 14.913306 14.828978 0.082511 0.084328 0.763939 0.884391 102 15.690592 15.732467 0.028910 -0.041875 -0.379352 -0.341180 103 15.812145 15.751769 0.048737 0.060376 0.546954 0.519160 104 15.917775 16.069643 0.034166 -0.151869 -1.375797 -1.251200 105 16.344291 16.254989 0.042013 0.089302 0.809002 0.751134 106 15.373915 15.431698 0.059033 -0.057783 -0.523462 -0.518590 107 16.306916 16.349742 0.027833 -0.042827 -0.387972 -0.348227 sum of residuals : -0.000000 Upper bound for the right tail probability of the largest absolute studentized residual (no. 80) : 0.000001 Control information - submodel 10 =================== transformed variable denoted by parameter mean standard deviation minimum maximum BEDTAS omitted BEDPER omitted BEDMED omitted BEDFAC omitted TASPER omitted TASMED omitted TASFAC omitted PERMED omitted PERFAC omitted MEDFAC omitted C 1.000000 0.000000 1.000000 1.000000 N1055 0.009346 0.096674 0.000000 1.000000 N1091 0.009346 0.096674 0.000000 1.000000 N1105 0.009346 0.096674 0.000000 1.000000 N1136 0.009346 0.096674 0.000000 1.000000 BED 5.718973 0.499388 4.625000 6.849100 TAS 3.239721 0.440309 2.302600 4.356700 PER 5.510410 0.595479 4.143105 6.753433 MED 13.658696 0.817116 11.668931 15.671299 FAC 1.957297 0.714438 0.000000 2.944400 BED2 32.953708 5.708891 21.390625 46.910171 TAS2 10.687850 2.892626 5.301967 18.980835 PER2 30.715903 6.553950 17.165318 45.608854 MED2 187.221413 22.332877 136.163941 245.589598 FAC2 4.336663 2.285606 0.000000 8.669491 dep.var. 15.914378 0.613283 14.180704 18.372424 Number of observations : 107 Multiple correlation coefficient 0.982327 (adjusted 0.979609) ================================ Proportion of variation explained 0.964966 (adjusted 0.959634) ================================= Standard deviation of the error term 0.123216 ==================================== Regression parameters ===================== right tail parameter estimate standard deviation F - ratio probability C 8.6101247397 3.5900297366 5.752052 0.018488 N1055 2.3137796687 0.1251737896 341.678145 0.000000 N1091 -2.2292788029 0.1470141374 229.937907 0.000000 N1105 2.0218451363 0.1440487716 197.004732 0.000000 N1136 -1.4872661834 0.1333112224 124.464066 0.000000 BED 1.1500155639 1.0730356908 1.148627 0.286640 TAS -0.2149442207 0.5201240847 0.170780 0.680381 PER 0.5939673862 0.8739750913 0.461878 0.498454 MED -0.0386682344 0.6303827138 0.003763 0.951221 FAC -0.0239740854 0.0796962915 0.090492 0.764232 BED2 -0.0165066652 0.0949275403 0.030237 0.862336 TAS2 0.0261789502 0.0785093402 0.111189 0.739553 PER2 -0.0464926111 0.0812781450 0.327205 0.568704 MED2 0.0022043686 0.0230934529 0.009112 0.924162 FAC2 -0.0001121208 0.0278081074 0.000016 0.996792 Correlation matrix of the estimates - part 1 =================================== C N1055 N1091 N1105 N1136 BED TAS PER MED FAC C 1.000000 N1055 0.014901 1.000000 N1091 -0.008463 -0.001812 1.000000 N1105 -0.387709 0.003318 -0.007122 1.000000 N1136 0.065193 0.003650 -0.058647 -0.048005 1.000000 BED -0.290278 0.002895 0.007624 -0.029303 0.112982 1.000000 TAS 0.132108 -0.020898 0.405173 0.009385 -0.099723 -0.152883 1.000000 PER 0.419792 -0.012591 -0.188049 -0.150243 0.104548 -0.699585 -0.204944 1.000000 MED -0.891128 0.000709 0.032015 0.420519 -0.172716 -0.047087 -0.076672 -0.369794 1.000000 FAC 0.205026 -0.044570 0.009893 -0.086486 -0.033896 0.093638 -0.061610 -0.330761 -0.059342 1.000000 BED2 0.302526 -0.008125 -0.018292 0.022912 -0.115421 -0.995339 0.138249 0.704232 0.031905 -0.079509 TAS2 -0.118652 0.022224 -0.439461 -0.007123 0.109167 0.143385 -0.993774 0.217443 0.063965 0.063889 PER2 -0.429831 0.014715 0.207359 0.139872 -0.113010 0.691400 0.208151 -0.993627 0.381795 0.317036 MED2 0.887509 -0.003573 -0.037550 -0.406050 0.179216 0.044947 0.072053 0.374012 -0.998495 0.058806 FAC2 -0.187881 0.080770 -0.011247 0.096391 0.043143 -0.034616 0.045040 0.244396 0.060800 -0.907166 Correlation matrix of the estimates - part 2 =================================== BED2 TAS2 PER2 MED2 FAC2 BED2 1.000000 TAS2 -0.129034 1.000000 PER2 -0.704035 -0.224615 1.000000 MED2 -0.029782 -0.059080 -0.388337 1.000000 FAC2 0.014735 -0.050524 -0.241108 -0.062585 1.000000 Analysis of variance ==================== source of right tail variation df sum of squares mean square F - ratio probability --------------------------------------------------------------------------------------------------------------- total 107 27139.483682 --------------------------------------------------------------------------------------------------------------- mean 1 27099.615438 27099.615438 1784959.584479 0.000000 regression 14 38.471481 2.747963 180.998982 0.000000 residual 92 1.396763 0.015182 --------------------------------------------------------------------------------------------------------------- reduction 10 0.092963 0.009296 0.584674 0.822070 --------------------------------------------------------------------------------------------------------------- regression null hypothesis : N1055 = N1091 = N1105 = N1136 = BED = TAS = PER = MED = FAC = BED2 = TAS2 = PER2 = MED2 = FAC2 = 0 (in the reduced model) reduction null hypothesis : BEDTAS = BEDPER = BEDMED = BEDFAC = TASPER = TASMED = TASFAC = PERMED = PERFAC = MEDFAC = 0 (in the original model) Residual analysis - page 1 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 1 16.404831 16.405304 0.032071 -0.000474 -0.004145 -0.003981 2 15.980087 16.009972 0.028300 -0.029885 -0.261566 -0.249202 3 16.157871 16.160959 0.018041 -0.003088 -0.027024 -0.025331 4 16.519832 16.491821 0.026528 0.028011 0.245165 0.232791 5 16.791780 16.842538 0.050982 -0.050758 -0.444256 -0.452491 6 16.106874 16.070208 0.040230 0.036666 0.320915 0.314825 7 16.319778 16.344874 0.022274 -0.025096 -0.219655 -0.207090 8 15.560216 16.078684 0.020281 -0.518468 -4.537876 -4.265979 9 16.008726 15.549792 0.028662 0.458934 4.016804 3.829679 10 15.586373 15.537089 0.027934 0.049284 0.431357 0.410673 11 14.945373 15.062801 0.045218 -0.117428 -1.027786 -1.024506 12 15.814110 15.776385 0.037685 0.037724 0.330180 0.321572 13 16.061786 16.071149 0.031647 -0.009363 -0.081949 -0.078626 14 15.812313 15.835025 0.029131 -0.022712 -0.198782 -0.189701 15 15.038542 15.077116 0.058896 -0.038574 -0.337620 -0.356414 16 16.187862 16.200315 0.038736 -0.012453 -0.108997 -0.106467 17 15.819904 15.771944 0.041672 0.047960 0.419770 0.413609 18 15.416646 15.416792 0.069931 -0.000146 -0.001274 -0.001435 19 16.118336 15.962647 0.047513 0.155689 1.362665 1.369455 20 18.372424 18.372424 0.123216 -0.000000 -0.000000 0.000000 21 15.611814 15.627029 0.026074 -0.015215 -0.133166 -0.126340 22 15.078043 15.139260 0.038493 -0.061217 -0.535803 -0.523007 23 16.511801 16.544851 0.036766 -0.033050 -0.289269 -0.281030 24 15.781488 15.870217 0.032450 -0.088730 -0.776606 -0.746468 25 16.664901 16.627839 0.038458 0.037062 0.324386 0.316607 26 16.083130 16.128707 0.035926 -0.045577 -0.398915 -0.386701 27 16.595678 16.594444 0.070459 0.001234 0.010802 0.012210 28 15.219340 15.185679 0.059845 0.033661 0.294618 0.312525 29 14.937168 14.871926 0.066982 0.065242 0.571030 0.630848 30 16.453076 16.454735 0.042927 -0.001659 -0.014524 -0.014368 31 16.491365 16.511013 0.033172 -0.019648 -0.171968 -0.165572 32 16.269176 16.281215 0.025926 -0.012040 -0.105378 -0.099950 33 15.583160 15.536655 0.030418 0.046505 0.407032 0.389479 34 15.372327 15.282522 0.030222 0.089805 0.786011 0.751803 35 15.850014 15.895227 0.021286 -0.045212 -0.395720 -0.372537 36 15.753382 15.784249 0.027218 -0.030867 -0.270164 -0.256858 37 15.559355 15.540601 0.039253 0.018754 0.164144 0.160570 38 16.703670 16.724230 0.046087 -0.020560 -0.179953 -0.179924 39 15.410615 15.464187 0.031119 -0.053572 -0.468884 -0.449344 40 16.133077 16.123382 0.022149 0.009694 0.084851 0.079982 41 16.248234 16.239251 0.049633 0.008983 0.078622 0.079651 42 14.180704 14.180704 0.123216 -0.000000 -0.000000 0.000000 43 15.831998 15.869121 0.027229 -0.037123 -0.324919 -0.308923 44 16.112393 16.099029 0.023413 0.013364 0.116965 0.110470 45 14.713575 14.765636 0.071268 -0.052061 -0.455662 -0.517949 46 15.644060 15.673333 0.026328 -0.029273 -0.256213 -0.243193 47 17.091944 17.011421 0.059260 0.080523 0.704779 0.745379 48 17.500395 17.500395 0.123216 0.000000 0.000000 0.000000 49 15.223503 15.397878 0.033799 -0.174375 -1.526210 -1.471643 50 16.193073 16.172481 0.029014 0.020592 0.180233 0.171958 Residual analysis - page 2 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 51 15.913927 16.024455 0.025063 -0.110528 -0.967391 -0.916178 52 15.938625 15.989465 0.025574 -0.050840 -0.444979 -0.421797 53 16.026881 16.052578 0.020753 -0.025697 -0.224911 -0.211574 54 15.955863 15.980850 0.030487 -0.024987 -0.218702 -0.209301 55 15.861845 15.928996 0.041969 -0.067151 -0.587741 -0.579650 56 15.860819 15.725687 0.041763 0.135131 1.182732 1.165702 57 16.129192 16.039222 0.030896 0.089970 0.787458 0.754276 58 16.437373 16.444754 0.037849 -0.007381 -0.064604 -0.062948 59 15.997957 16.014915 0.020724 -0.016958 -0.148423 -0.139616 60 16.059149 16.097011 0.020554 -0.037863 -0.331391 -0.311653 61 16.845552 16.856278 0.047426 -0.010726 -0.093881 -0.094319 62 15.625522 15.674966 0.052521 -0.049444 -0.432757 -0.443594 63 15.627020 15.571875 0.026063 0.055144 0.482648 0.457901 64 15.392264 15.454258 0.039189 -0.061995 -0.542607 -0.530695 65 15.338887 15.338887 0.123216 -0.000000 -0.000000 0.000000 66 15.597206 15.651482 0.042192 -0.054276 -0.475050 -0.468838 67 15.580690 15.614557 0.046429 -0.033867 -0.296422 -0.296733 68 15.844684 15.833162 0.023208 0.011522 0.100847 0.095216 69 14.847721 14.870716 0.060852 -0.022995 -0.201262 -0.214622 70 15.172493 15.164042 0.061977 0.008451 0.073969 0.079359 71 15.163543 15.115905 0.041000 0.047638 0.416951 0.409986 72 15.255831 15.261020 0.050283 -0.005189 -0.045421 -0.046133 73 16.444106 16.443970 0.028278 0.000137 0.001197 0.001141 74 16.170273 16.157628 0.033295 0.012645 0.110674 0.106589 75 16.062091 16.084026 0.027608 -0.021935 -0.191983 -0.182663 76 16.569191 16.565371 0.033729 0.003820 0.033436 0.032235 77 16.263450 16.208702 0.027411 0.054748 0.479180 0.455745 78 15.916139 16.004239 0.049632 -0.088100 -0.771093 -0.781182 79 15.977799 16.004629 0.032495 -0.026830 -0.234827 -0.225738 80 16.703259 15.918459 0.028670 0.784800 6.868941 6.549056 81 16.811973 16.729204 0.037058 0.082769 0.724435 0.704351 82 14.886002 14.985311 0.079505 -0.099308 -0.869191 -1.054970 83 15.530788 15.525093 0.036315 0.005694 0.049840 0.048363 84 15.958779 15.967216 0.028679 -0.008438 -0.073849 -0.070411 85 15.717694 15.755385 0.019724 -0.037690 -0.329884 -0.309885 86 16.862551 16.831884 0.061204 0.030667 0.268412 0.286767 87 16.098098 16.203183 0.065263 -0.105085 -0.919754 -1.005476 88 16.676902 16.694599 0.081481 -0.017697 -0.154891 -0.191466 89 16.595720 16.601399 0.048816 -0.005679 -0.049708 -0.050200 90 15.845716 15.806782 0.036000 0.038935 0.340774 0.330403 91 15.130883 15.158445 0.032984 -0.027563 -0.241241 -0.232167 92 16.022770 15.964197 0.029957 0.058573 0.512659 0.490074 93 16.512625 16.513374 0.022666 -0.000749 -0.006558 -0.006186 94 15.667486 15.764343 0.029151 -0.096857 -0.847741 -0.809045 95 16.122580 16.170794 0.018420 -0.048214 -0.421994 -0.395746 96 15.473884 15.464956 0.035814 0.008928 0.078143 0.075729 97 15.262316 15.262367 0.029552 -0.000050 -0.000439 -0.000419 98 16.129980 16.106909 0.035660 0.023070 0.201921 0.195605 99 15.768368 15.710223 0.035186 0.058145 0.508911 0.492397 100 14.998943 14.979492 0.048959 0.019451 0.170247 0.172026 Residual analysis - page 3 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 101 14.913306 14.854040 0.071601 0.059266 0.518722 0.591020 102 15.690592 15.738933 0.021441 -0.048341 -0.423101 -0.398403 103 15.812145 15.734350 0.033168 0.077795 0.680897 0.655567 104 15.917775 16.043856 0.024963 -0.126081 -1.103518 -1.044918 105 16.344291 16.272655 0.033292 0.071636 0.626996 0.603848 106 15.373915 15.414016 0.034723 -0.040100 -0.350978 -0.339195 107 16.306916 16.358300 0.020690 -0.051384 -0.449736 -0.423030 sum of residuals : -0.000000 Upper bound for the right tail probability of the largest absolute studentized residual (no. 80) : 0.000002 Control information - submodel 15 =================== transformed variable denoted by parameter mean standard deviation minimum maximum BED2 omitted TAS2 omitted PER2 omitted MED2 omitted FAC2 omitted BEDTAS omitted BEDPER omitted BEDMED omitted BEDFAC omitted TASPER omitted TASMED omitted TASFAC omitted PERMED omitted PERFAC omitted MEDFAC omitted C 1.000000 0.000000 1.000000 1.000000 N1055 0.009346 0.096674 0.000000 1.000000 N1091 0.009346 0.096674 0.000000 1.000000 N1105 0.009346 0.096674 0.000000 1.000000 N1136 0.009346 0.096674 0.000000 1.000000 BED 5.718973 0.499388 4.625000 6.849100 TAS 3.239721 0.440309 2.302600 4.356700 PER 5.510410 0.595479 4.143105 6.753433 MED 13.658696 0.817116 11.668931 15.671299 FAC 1.957297 0.714438 0.000000 2.944400 dep.var. 15.914378 0.613283 14.180704 18.372424 Number of observations : 107 Multiple correlation coefficient 0.981899 (adjusted 0.980202) ================================ Proportion of variation explained 0.964125 (adjusted 0.960797) ================================= Standard deviation of the error term 0.121429 ==================================== Regression parameters ===================== right tail parameter estimate standard deviation F - ratio probability C 9.9735882543 0.3108146916 1029.674108 0.000000 N1055 2.3304057352 0.1222997147 363.088248 0.000000 N1091 -2.2002532832 0.1290981693 290.472611 0.000000 N1105 2.0281680438 0.1292736516 246.143198 0.000000 N1136 -1.5316489062 0.1251521760 149.775797 0.000000 BED 0.9472545303 0.0970942337 95.180176 0.000000 TAS -0.0483486044 0.0562534278 0.738703 0.392196 PER 0.0920511174 0.0961156001 0.917213 0.340589 MED 0.0134534136 0.0335185755 0.161099 0.689029 FAC -0.0085573681 0.0305066084 0.078685 0.779685 Correlation matrix of the estimates =================================== C N1055 N1091 N1105 N1136 BED TAS PER MED FAC C 1.000000 N1055 0.059611 1.000000 N1091 0.069403 0.007713 1.000000 N1105 -0.263211 -0.003075 -0.040561 1.000000 N1136 0.045320 0.014945 0.003188 0.027960 1.000000 BED -0.391605 -0.036351 -0.039244 0.017170 -0.073360 1.000000 TAS 0.050495 0.021979 -0.304272 0.079578 0.058988 -0.078794 1.000000 PER 0.409932 0.022657 0.154358 -0.163159 -0.056032 -0.744808 -0.304810 1.000000 MED -0.751278 -0.038372 -0.058564 0.311176 0.088661 -0.043698 0.019390 -0.380210 1.000000 FAC 0.415754 0.034373 -0.007364 0.008986 0.062983 -0.076460 -0.024264 -0.231182 -0.043088 1.000000 Analysis of variance ==================== source of right tail variation df sum of squares mean square F - ratio probability --------------------------------------------------------------------------------------------------------------- total 107 27139.483682 --------------------------------------------------------------------------------------------------------------- mean 1 27099.615438 27099.615438 1837897.452992 0.000000 regression 9 38.437988 4.270888 289.651839 0.000000 residual 97 1.430255 0.014745 --------------------------------------------------------------------------------------------------------------- reduction 15 0.126456 0.008430 0.530214 0.916440 --------------------------------------------------------------------------------------------------------------- regression null hypothesis : N1055 = N1091 = N1105 = N1136 = BED = TAS = PER = MED = FAC = 0 (in the reduced model) reduction null hypothesis : BED2 = TAS2 = PER2 = MED2 = FAC2 = BEDTAS = BEDPER = BEDMED = BEDFAC = TASPER = TASMED = TASFAC = PERMED = PERFAC = MEDFAC = 0 (in the original model) Residual analysis - page 1 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 1 16.404831 16.415094 0.020098 -0.010264 -0.088773 -0.085705 2 15.980087 16.003284 0.026425 -0.023197 -0.200637 -0.195722 3 16.157871 16.154144 0.014238 0.003728 0.032243 0.030912 4 16.519832 16.494561 0.022057 0.025271 0.218581 0.211638 5 16.791780 16.868221 0.031307 -0.076440 -0.661161 -0.651535 6 16.106874 16.055242 0.036301 0.051631 0.446579 0.445576 7 16.319778 16.340011 0.018770 -0.020233 -0.175002 -0.168651 8 15.560216 16.069705 0.015895 -0.509489 -4.406765 -4.232206 9 16.008726 15.537335 0.024127 0.471391 4.077237 3.961014 10 15.586373 15.527798 0.021391 0.058575 0.506639 0.490047 11 14.945373 15.083283 0.033633 -0.137910 -1.192840 -1.181975 12 15.814110 15.773466 0.030066 0.040643 0.351539 0.345466 13 16.061786 16.061099 0.029016 0.000687 0.005946 0.005830 14 15.812313 15.822707 0.025782 -0.010394 -0.089899 -0.087593 15 15.038542 15.103483 0.049127 -0.064941 -0.561700 -0.584807 16 16.187862 16.186752 0.031896 0.001110 0.009598 0.009472 17 15.819904 15.761681 0.037018 0.058223 0.503597 0.503452 18 15.416646 15.392828 0.050377 0.023818 0.206009 0.215574 19 16.118336 15.958263 0.041163 0.160073 1.384533 1.401213 20 18.372424 18.372424 0.121429 -0.000000 -0.000000 0.000000 21 15.611814 15.613272 0.020431 -0.001458 -0.012609 -0.012179 22 15.078043 15.151157 0.027249 -0.073114 -0.632392 -0.617874 23 16.511801 16.543658 0.026461 -0.031858 -0.275549 -0.268817 24 15.781488 15.858346 0.030671 -0.076858 -0.664778 -0.654163 25 16.664901 16.654420 0.027270 0.010481 0.090654 0.088577 26 16.083130 16.116224 0.026846 -0.033094 -0.286245 -0.279457 27 16.595678 16.641555 0.038428 -0.045877 -0.396807 -0.398280 28 15.219340 15.183731 0.042232 0.035609 0.307999 0.312780 29 14.937168 14.900579 0.039923 0.036589 0.316476 0.319062 30 16.453076 16.475617 0.027816 -0.022541 -0.194964 -0.190701 31 16.491365 16.521271 0.022441 -0.029906 -0.258665 -0.250598 32 16.269176 16.283269 0.017803 -0.014093 -0.121895 -0.117327 33 15.583160 15.529076 0.023191 0.054084 0.467791 0.453748 34 15.372327 15.294827 0.021887 0.077500 0.670325 0.648860 35 15.850014 15.882132 0.018174 -0.032118 -0.277798 -0.267512 36 15.753382 15.778629 0.024745 -0.025248 -0.218376 -0.212378 37 15.559355 15.528156 0.034868 0.031200 0.269858 0.268235 38 16.703670 16.739720 0.030898 -0.036050 -0.311808 -0.306985 39 15.410615 15.468571 0.024771 -0.057956 -0.501284 -0.487537 40 16.133077 16.110257 0.018541 0.022820 0.197375 0.190156 41 16.248234 16.224724 0.033961 0.023510 0.203344 0.201657 42 14.180704 14.180704 0.121429 -0.000000 -0.000000 0.000000 43 15.831998 15.857192 0.023381 -0.025195 -0.217917 -0.211441 44 16.112393 16.088248 0.019572 0.024145 0.208839 0.201476 45 14.713575 14.808558 0.041944 -0.094983 -0.821542 -0.833516 46 15.644060 15.666289 0.022950 -0.022229 -0.192264 -0.186419 47 17.091944 17.059463 0.033186 0.032482 0.280945 0.278082 48 17.500395 17.500395 0.121429 0.000000 0.000000 0.000000 49 15.223503 15.404108 0.024370 -0.180605 -1.562123 -1.518225 50 16.193073 16.167804 0.020453 0.025269 0.218561 0.211114 Residual analysis - page 2 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 51 15.913927 16.014035 0.022438 -0.100108 -0.865875 -0.838867 52 15.938625 15.982339 0.023520 -0.043714 -0.378097 -0.366945 53 16.026881 16.042003 0.018526 -0.015123 -0.130800 -0.126014 54 15.955863 15.960171 0.022583 -0.004308 -0.037261 -0.036107 55 15.861845 15.914325 0.034707 -0.052480 -0.453921 -0.451005 56 15.860819 15.726688 0.031517 0.134131 1.160149 1.143807 57 16.129192 16.033522 0.024103 0.095670 0.827482 0.803863 58 16.437373 16.442413 0.026816 -0.005040 -0.043596 -0.042560 59 15.997957 15.999487 0.013332 -0.001530 -0.013234 -0.012677 60 16.059149 16.082165 0.015688 -0.023017 -0.199079 -0.191150 61 16.845552 16.901816 0.028288 -0.056264 -0.486650 -0.476461 62 15.625522 15.659190 0.047184 -0.033668 -0.291209 -0.300914 63 15.627020 15.572223 0.023842 0.054797 0.473957 0.460225 64 15.392264 15.449582 0.033241 -0.057319 -0.495772 -0.490784 65 15.338887 15.338887 0.121429 -0.000000 -0.000000 -0.000000 66 15.597206 15.643798 0.036606 -0.046592 -0.402992 -0.402421 67 15.580690 15.605972 0.032803 -0.025281 -0.218669 -0.216240 68 15.844684 15.819306 0.018884 0.025378 0.219502 0.211568 69 14.847721 14.893045 0.039644 -0.045324 -0.392026 -0.394896 70 15.172493 15.185847 0.045519 -0.013354 -0.115501 -0.118621 71 15.163543 15.139273 0.029745 0.024271 0.209926 0.206156 72 15.255831 15.251482 0.031801 0.004349 0.037617 0.037112 73 16.444106 16.446232 0.022990 -0.002126 -0.018387 -0.017829 74 16.170273 16.156363 0.028125 0.013910 0.120317 0.117759 75 16.062091 16.074646 0.021759 -0.012554 -0.108588 -0.105090 76 16.569191 16.571752 0.025725 -0.002561 -0.022154 -0.021583 77 16.263450 16.203677 0.022155 0.059774 0.517006 0.500658 78 15.916139 15.977281 0.040393 -0.061142 -0.528842 -0.533931 79 15.977799 15.986521 0.028966 -0.008722 -0.075440 -0.073964 80 16.703259 15.904960 0.026654 0.798299 6.904794 6.738570 81 16.811973 16.759544 0.024843 0.052429 0.453483 0.441102 82 14.886002 15.029870 0.048925 -0.143867 -1.244363 -1.294514 83 15.530788 15.528036 0.029190 0.002751 0.023798 0.023343 84 15.958779 15.953397 0.024833 0.005382 0.046548 0.045276 85 15.717694 15.746464 0.017770 -0.028769 -0.248836 -0.239501 86 16.862551 16.872155 0.034713 -0.009605 -0.083073 -0.082541 87 16.098098 16.185021 0.044341 -0.086923 -0.751833 -0.768938 88 16.676902 16.697103 0.041872 -0.020201 -0.174728 -0.177233 89 16.595720 16.610203 0.032614 -0.014483 -0.125269 -0.123822 90 15.845716 15.783023 0.026231 0.062693 0.542258 0.528783 91 15.130883 15.178095 0.023561 -0.047212 -0.408358 -0.396341 92 16.022770 15.950491 0.024006 0.072279 0.625169 0.607224 93 16.512625 16.519081 0.019924 -0.006455 -0.055835 -0.053892 94 15.667486 15.750121 0.022593 -0.082635 -0.714740 -0.692616 95 16.122580 16.159649 0.015573 -0.037069 -0.320627 -0.307819 96 15.473884 15.446986 0.030866 0.026898 0.232654 0.229039 97 15.262316 15.273109 0.026140 -0.010793 -0.093349 -0.091014 98 16.129980 16.090744 0.031084 0.039235 0.339362 0.334252 99 15.768368 15.689240 0.026840 0.079129 0.684413 0.668173 100 14.998943 14.992702 0.034229 0.006241 0.053981 0.053569 Residual analysis - page 3 ================= standardized studentized obs.no. observation fitted value standard deviation residual residual residual 101 14.913306 14.912319 0.035968 0.000986 0.008532 0.008505 102 15.690592 15.724647 0.014481 -0.034055 -0.294556 -0.282470 103 15.812145 15.719795 0.027018 0.092350 0.798767 0.780081 104 15.917775 16.029904 0.022651 -0.112129 -0.969850 -0.939915 105 16.344291 16.268202 0.026016 0.076089 0.658125 0.641515 106 15.373915 15.415731 0.030744 -0.041816 -0.361684 -0.355967 107 16.306916 16.360505 0.017049 -0.053590 -0.463519 -0.445744 sum of residuals : -0.000000 Upper bound for the right tail probability of the largest absolute studentized residual (no. 80) : 0.000002 End of job : 1