time=0 The MEANS Procedure Analysis Variable : y N Mean Variance ??????????????????????????????????? 85 -3.7892941 0.7011777 ??????????????????????????????????? time=1 Analysis Variable : y N Mean Variance ??????????????????????????????????? 89 -3.4094449 1.0840095 ??????????????????????????????????? time=2 Analysis Variable : y N Mean Variance ??????????????????????????????????? 94 -3.4173191 1.6580765 ??????????????????????????????????? time=3 Analysis Variable : y N Mean Variance ??????????????????????????????????? 98 -2.6415592 2.6096755 ??????????????????????????????????? time=4 Analysis Variable : y N Mean Variance ??????????????????????????????????? 103 -1.9952165 2.1668505 ??????????????????????????????????? time=5 Analysis Variable : y N Mean Variance ??????????????????????????????????? 105 -1.2715362 1.7245063 ??????????????????????????????????? type=csh time=6 The MEANS Procedure Analysis Variable : y N Mean Variance ??????????????????????????????????? 100 -0.7756250 1.0541943 ??????????????????????????????????? time=7 Analysis Variable : y N Mean Variance ??????????????????????????????????? 85 -0.4803000 0.6299903 ??????????????????????????????????? time=8 Analysis Variable : y N Mean Variance ??????????????????????????????????? 73 -0.5673041 0.4279495 ??????????????????????????????????? time=9 Analysis Variable : y N Mean Variance ??????????????????????????????????? 67 -0.5108463 0.3352365 ??????????????????????????????????? time=10 Analysis Variable : y N Mean Variance ??????????????????????????????????? 56 -0.4082250 0.4181859 ??????????????????????????????????? type=un The Mixed Procedure Model Information Data Set WORK.DROSOPHILA Dependent Variable y Covariance Structure Unstructured Subject Effect subject Estimation Method REML Residual Variance Method None Fixed Effects SE Method Model-Based Degrees of Freedom Method Between-Within Class Level Information Class Levels Values subject 112 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 time 11 0 1 2 3 4 5 6 7 8 9 10 Dimensions Covariance Parameters 66 Columns in X 12 Columns in Z 0 Subjects 112 Max Obs Per Subject 11 Number of Observations Number of Observations Read 955 Number of Observations Used 955 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 2950.61928848 1 3 2153.98126378 0.17214164 2 3 2130.82485263 0.05027375 3 1 2118.58422993 0.01438363 4 1 2115.25295656 0.00269906 5 1 2114.67142712 0.00015762 6 1 2114.64022497 0.00000074 7 1 2114.64008468 0.00000000 type=un The Mixed Procedure Convergence criteria met. Estimated R Matrix for subject 1 Row Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 1 0.6888 0.5152 0.5859 0.6337 0.4918 0.3441 0.1923 0.08051 0.01173 0.05233 2 0.5152 1.1001 0.9627 1.0624 0.9357 0.6521 0.4027 0.2509 0.1133 0.1748 3 0.5859 0.9627 1.6882 1.6761 1.3271 0.8630 0.4421 0.2942 0.01384 -0.00518 4 0.6337 1.0624 1.6761 2.7465 2.1961 1.4623 0.7110 0.3403 0.03394 0.1285 5 0.4918 0.9357 1.3271 2.1961 2.6281 1.9387 1.1178 0.6027 0.1756 0.1904 6 0.3441 0.6521 0.8630 1.4623 1.9387 1.9386 1.2103 0.6709 0.1794 0.1723 7 0.1923 0.4027 0.4421 0.7110 1.1178 1.2103 1.1410 0.6776 0.3192 0.2379 8 0.08051 0.2509 0.2942 0.3403 0.6027 0.6709 0.6776 0.6786 0.3642 0.2121 9 0.01173 0.1133 0.01384 0.03394 0.1756 0.1794 0.3192 0.3642 0.4788 0.2154 10 0.05233 0.1748 -0.00518 0.1285 0.1904 0.1723 0.2379 0.2121 0.2154 0.3618 Estimated R Correlation Matrix for subject 1 Row Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 1 1.0000 0.5919 0.5434 0.4608 0.3655 0.2978 0.2169 0.1178 0.02043 0.1048 2 0.5919 1.0000 0.7065 0.6112 0.5503 0.4466 0.3594 0.2904 0.1561 0.2770 3 0.5434 0.7065 1.0000 0.7784 0.6300 0.4770 0.3186 0.2749 0.01539 -0.00663 4 0.4608 0.6112 0.7784 1.0000 0.8174 0.6337 0.4016 0.2493 0.02960 0.1289 5 0.3655 0.5503 0.6300 0.8174 1.0000 0.8589 0.6455 0.4513 0.1566 0.1952 6 0.2978 0.4466 0.4770 0.6337 0.8589 1.0000 0.8138 0.5850 0.1862 0.2057 7 0.2169 0.3594 0.3186 0.4016 0.6455 0.8138 1.0000 0.7700 0.4319 0.3702 8 0.1178 0.2904 0.2749 0.2493 0.4513 0.5850 0.7700 1.0000 0.6389 0.4280 9 0.02043 0.1561 0.01539 0.02960 0.1566 0.1862 0.4319 0.6389 1.0000 0.5175 10 0.1048 0.2770 -0.00663 0.1289 0.1952 0.2057 0.3702 0.4280 0.5175 1.0000 Covariance Parameter Estimates Cov Parm Subject Estimate UN(1,1) subject 0.6888 UN(2,1) subject 0.5152 UN(2,2) subject 1.1001 UN(3,1) subject 0.5859 UN(3,2) subject 0.9627 UN(3,3) subject 1.6882 UN(4,1) subject 0.6337 UN(4,2) subject 1.0624 UN(4,3) subject 1.6761 UN(4,4) subject 2.7465 UN(5,1) subject 0.4918 UN(5,2) subject 0.9357 UN(5,3) subject 1.3271 UN(5,4) subject 2.1961 UN(5,5) subject 2.6281 UN(6,1) subject 0.3441 UN(6,2) subject 0.6521 UN(6,3) subject 0.8630 UN(6,4) subject 1.4623 UN(6,5) subject 1.9387 UN(6,6) subject 1.9386 UN(7,1) subject 0.1923 UN(7,2) subject 0.4027 UN(7,3) subject 0.4421 type=un The Mixed Procedure Covariance Parameter Estimates Cov Parm Subject Estimate UN(7,4) subject 0.7110 UN(7,5) subject 1.1178 UN(7,6) subject 1.2103 UN(7,7) subject 1.1410 UN(8,1) subject 0.08051 UN(8,2) subject 0.2509 UN(8,3) subject 0.2942 UN(8,4) subject 0.3403 UN(8,5) subject 0.6027 UN(8,6) subject 0.6709 UN(8,7) subject 0.6776 UN(8,8) subject 0.6786 UN(9,1) subject 0.01173 UN(9,2) subject 0.1133 UN(9,3) subject 0.01384 UN(9,4) subject 0.03394 UN(9,5) subject 0.1756 UN(9,6) subject 0.1794 UN(9,7) subject 0.3192 UN(9,8) subject 0.3642 UN(9,9) subject 0.4788 UN(10,1) subject 0.05233 UN(10,2) subject 0.1748 UN(10,3) subject -0.00518 UN(10,4) subject 0.1285 UN(10,5) subject 0.1904 UN(10,6) subject 0.1723 UN(10,7) subject 0.2379 UN(10,8) subject 0.2121 UN(10,9) subject 0.2154 UN(10,10) subject 0.3618 UN(11,1) subject 0.1352 UN(11,2) subject 0.2162 UN(11,3) subject 0.07811 UN(11,4) subject 0.4209 UN(11,5) subject 0.4936 UN(11,6) subject 0.3917 UN(11,7) subject 0.2636 UN(11,8) subject 0.1999 UN(11,9) subject 0.1417 UN(11,10) subject 0.1795 UN(11,11) subject 0.4863 Fit Statistics -2 Res Log Likelihood 2114.6 AIC (smaller is better) 2246.6 AICC (smaller is better) 2256.7 BIC (smaller is better) 2426.1 Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 65 835.98 <.0001 type=un The Mixed Procedure Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F time 10 111 159.35 <.0001 type=ante(1) The Mixed Procedure Model Information Data Set WORK.DROSOPHILA Dependent Variable y Covariance Structure Ante-dependence Subject Effect subject Estimation Method REML Residual Variance Method None Fixed Effects SE Method Model-Based Degrees of Freedom Method Between-Within Class Level Information Class Levels Values subject 112 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 time 11 0 1 2 3 4 5 6 7 8 9 10 Dimensions Covariance Parameters 21 Columns in X 12 Columns in Z 0 Subjects 112 Max Obs Per Subject 11 Number of Observations Number of Observations Read 955 Number of Observations Used 955 Number of Observations Not Used 0 Iteration History Iteration Evaluations -2 Res Log Like Criterion 0 1 2950.61928848 1 2 2173.31556830 0.03729658 2 1 2168.21830003 0.00725924 3 1 2166.45955452 0.00038479 4 1 2166.37288242 0.00000200 5 1 2166.37244863 0.00000000 Convergence criteria met. type=ante(1) The Mixed Procedure Estimated R Matrix for subject 1 Row Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 1 0.6930 0.5220 0.4694 0.4716 0.3721 0.2774 0.1795 0.1091 0.05921 0.02498 2 0.5220 1.0763 0.9678 0.9724 0.7671 0.5720 0.3701 0.2248 0.1221 0.05150 3 0.4694 0.9678 1.7094 1.7174 1.3550 1.0103 0.6536 0.3971 0.2156 0.09096 4 0.4716 0.9724 1.7174 2.8039 2.2121 1.6495 1.0671 0.6484 0.3521 0.1485 5 0.3721 0.7671 1.3550 2.2121 2.5892 1.9307 1.2490 0.7589 0.4121 0.1738 6 0.2774 0.5720 1.0103 1.6495 1.9307 1.9504 1.2618 0.7667 0.4163 0.1756 7 0.1795 0.3701 0.6536 1.0671 1.2490 1.2618 1.2009 0.7297 0.3962 0.1671 8 0.1091 0.2248 0.3971 0.6484 0.7589 0.7667 0.7297 0.7182 0.3900 0.1645 9 0.05921 0.1221 0.2156 0.3521 0.4121 0.4163 0.3962 0.3900 0.4902 0.2068 10 0.02498 0.05150 0.09096 0.1485 0.1738 0.1756 0.1671 0.1645 0.2068 0.3506 Estimated R Correlation Matrix for subject 1 Row Col1 Col2 Col3 Col4 Col5 Col6 Col7 Col8 Col9 Col10 1 1.0000 0.6045 0.4313 0.3383 0.2778 0.2386 0.1967 0.1546 0.1016 0.05068 2 0.6045 1.0000 0.7135 0.5597 0.4595 0.3948 0.3255 0.2557 0.1681 0.08384 3 0.4313 0.7135 1.0000 0.7845 0.6440 0.5533 0.4562 0.3584 0.2356 0.1175 4 0.3383 0.5597 0.7845 1.0000 0.8210 0.7054 0.5815 0.4569 0.3003 0.1498 5 0.2778 0.4595 0.6440 0.8210 1.0000 0.8592 0.7083 0.5565 0.3657 0.1824 6 0.2386 0.3948 0.5533 0.7054 0.8592 1.0000 0.8244 0.6478 0.4257 0.2124 7 0.1967 0.3255 0.4562 0.5815 0.7083 0.8244 1.0000 0.7857 0.5164 0.2576 8 0.1546 0.2557 0.3584 0.4569 0.5565 0.6478 0.7857 1.0000 0.6572 0.3278 9 0.1016 0.1681 0.2356 0.3003 0.3657 0.4257 0.5164 0.6572 1.0000 0.4988 10 0.05068 0.08384 0.1175 0.1498 0.1824 0.2124 0.2576 0.3278 0.4988 1.0000 Covariance Parameter Estimates Cov Parm Subject Estimate Var(1) subject 0.6930 Var(2) subject 1.0763 Var(3) subject 1.7094 Var(4) subject 2.8039 Var(5) subject 2.5892 Var(6) subject 1.9504 Var(7) subject 1.2009 Var(8) subject 0.7182 Var(9) subject 0.4902 Var(10) subject 0.3506 Var(11) subject 0.4180 Rho(1) subject 0.6045 Rho(2) subject 0.7135 Rho(3) subject 0.7845 Rho(4) subject 0.8210 Rho(5) subject 0.8592 Rho(6) subject 0.8244 Rho(7) subject 0.7857 Rho(8) subject 0.6572 Rho(9) subject 0.4988 Rho(10) subject 0.3724 Fit Statistics -2 Res Log Likelihood 2166.4 AIC (smaller is better) 2208.4 type=ante(1) The Mixed Procedure Fit Statistics AICC (smaller is better) 2209.4 BIC (smaller is better) 2265.5 Null Model Likelihood Ratio Test DF Chi-Square Pr > ChiSq 20 784.25 <.0001 Type 3 Tests of Fixed Effects Num Den Effect DF DF F Value Pr > F time 10 833 146.90 <.0001 type=ante(1) subject _NAME_ _0 _1 _2 _3 _4 _5 _6 _7 _8 _9 _10 1 y -2.8329 -2.9599 -3.1353 -1.2719 -0.6813 -0.6245 -1.7020 -0.0874 0.3266 -0.3665 . 2 y -3.4888 -4.8559 . -3.4499 -4.8162 -4.1109 -1.7672 -0.8317 -0.5007 0.0184 -0.7226 3 y -3.7879 -3.2464 -4.1351 -4.8162 -3.7013 -2.0134 -1.1294 -0.5629 0.1152 -0.1657 -1.7020 4 y -3.7727 -4.1589 -4.8402 -3.7256 -2.3678 -2.2694 -0.5280 -0.0194 -0.4360 -0.7941 0.2254 5 y -3.4419 -4.1109 -4.7916 -4.7833 -3.1483 -1.0031 -1.3526 -0.5370 -0.7301 -0.1657 0.0940 6 y -3.7650 -4.8481 -4.8402 -2.6022 -1.8515 -0.9151 -0.4318 -0.9747 -0.0194 -0.5314 -0.6717 7 y -3.3927 -3.6506 -3.6243 -3.5972 -3.5695 -3.2483 -2.9804 -2.2073 -1.2192 -0.8090 -0.7038 8 y -3.5695 -2.6022 -3.4657 -2.4926 -0.0780 -0.1828 -0.5144 -0.5007 0.0940 . . 9 y -3.2694 -2.8861 -4.7999 -4.0943 -1.8698 0.3984 0.7114 0.0940 . . . 10 y -4.8162 . -4.1109 -1.1090 0.3184 . . . . . . 11 y . -4.2485 -3.8250 -1.3521 0.1462 0.8746 0.0940 . . . . 12 y . . . . -4.6299 -3.9219 -1.9714 -0.7796 -0.6717 -0.7941 -0.2985 13 y -4.9593 . . -4.9523 . . -3.8394 -3.8177 -2.3742 -2.0398 -1.6425 14 y . -3.6678 -4.0518 -3.3321 -2.5835 -2.3819 -1.4182 -0.9717 -1.2003 -1.1549 -0.6477 15 y . -4.8866 -4.1820 -3.2386 -2.3847 -1.4901 -1.7141 -1.1862 -1.4223 -0.9597 -0.0874 16 y -3.8746 -4.9593 -4.2556 -4.2413 -4.9236 -4.2195 -4.2047 -2.1231 -1.3061 -1.3254 -1.0721 17 y -4.9016 -4.8941 . . . -4.8866 . -2.1882 -0.7622 -0.3665 -0.5685 18 y -2.5818 -2.1090 -2.1219 0.1856 -0.2377 0.2790 -0.3665 . . . . 19 y -3.7954 -4.8790 -4.8714 -3.2386 -2.3847 -1.2257 -1.9763 -0.4057 -0.4434 -0.5144 0.8746 20 y -4.9938 . -4.9870 . -3.3568 -1.7741 -1.8079 -1.1250 -0.8203 0.1915 0.0292 21 y -4.0604 -4.7406 -4.7318 -4.7229 -4.7140 -2.5929 -1.7127 -0.4344 -0.8224 -0.2202 0.3828 22 y -3.4499 -3.0038 -1.8607 -0.8906 -0.5672 -0.8706 -2.0570 -1.3555 -1.6391 -0.5805 0.3266 23 y -2.6965 -1.4078 -0.8193 -0.1295 -1.0458 -0.6041 -1.6061 -0.2096 -1.2459 -0.9027 -0.3665 24 y . . . -5.0140 -1.9992 0.1498 -0.1274 -0.1196 -0.5805 -1.2459 0.0940 25 y -4.2485 . . -1.9756 -0.8525 0.4680 -0.3665 -0.0194 -0.9027 . . 26 y . . . . . -2.7588 -0.2734 0.1856 0.7006 -0.3665 . 27 y -4.9593 -4.2556 -4.9381 -3.3068 -4.1972 -1.8617 -0.3793 -0.2421 -0.7226 -0.5528 -0.5314 28 y -4.9452 -3.8322 -2.6890 -1.7726 -0.6180 -0.3437 0.1235 0.8340 . . . 29 y -4.6775 -3.2675 -3.9318 -3.2087 -2.0245 -1.9763 -1.4121 -0.4677 0.0355 -0.2377 0.4759 30 y -3.6331 . -4.0164 -3.9982 -1.9002 -1.2090 -0.7003 -0.5805 -0.0194 -0.2096 . 31 y -3.5835 -3.5553 -4.9236 -3.2920 -2.3506 -0.7269 0.9212 . . . . 32 y . . -4.8243 -4.8162 -2.6993 -2.1206 -1.3644 -0.8264 -1.0547 -1.3811 -0.8168 33 y -4.2973 -4.2836 -3.8607 -4.2485 -2.9628 -1.7529 -1.2776 -0.5436 -0.8008 -1.3254 -0.7003 34 y -3.4094 -3.6678 -4.0518 -2.9175 -1.9745 -1.9048 -1.2036 -1.4999 -1.3460 -0.6542 0.0115 35 y -4.3631 . . -3.9416 -3.9219 -2.3230 -0.9960 0.3113 -0.4892 -0.4796 0.2254 36 y -3.3568 . . . -4.2485 -2.8255 -1.9733 -0.3665 -0.1450 0.2088 -0.1657 37 y . -3.8677 -3.8466 -3.5336 -2.2120 -0.9756 -0.3839 -0.2985 -1.2459 -0.2716 -0.5805 38 y . -4.8323 . -2.8537 -2.5341 -2.1487 -1.3069 -1.1549 -0.7708 -0.8317 -0.9597 39 y -3.5695 . -3.5409 -3.0984 -3.0522 -1.9794 -1.9002 -1.4182 -1.8120 -2.2849 -1.7418 40 y -3.2307 -3.1903 -2.0781 -1.3490 -0.5695 0.3582 0.5334 -0.3665 . . . 41 y . -2.8427 -1.9714 -0.0937 -0.0874 -0.3665 0.2254 . -0.3665 . . 42 y -4.2697 -3.1426 -3.8029 -1.9281 -0.8190 -0.1022 0.7006 -0.3665 -0.3665 . . 43 y . -4.2341 -3.8103 -0.9212 -0.0269 0.4577 0.6657 . . . . 44 y -3.0679 -2.7618 -1.7506 -0.3665 -0.0311 0.5334 0.3266 . . . . 45 y -3.5638 -2.5555 -1.0384 0.0619 -0.1859 -0.1196 0.2254 . . . . 46 y -2.9020 -1.7379 -0.7550 1.1236 0.0940 . . . . . . 47 y -3.4578 -2.4843 -0.4816 1.1081 . . . . . . . 48 y -4.9938 -2.8831 . -4.9309 -1.8013 -0.6385 -0.0637 0.7872 . . . 49 y -3.8607 . -4.2485 -3.5336 -2.7954 -1.2010 -0.4285 -0.1097 0.1856 0.0940 . 50 y -4.9938 -3.5904 -3.3357 -3.2994 -1.7611 -1.6260 -1.0136 0.3266 0.7321 . . 51 y -3.5624 -2.9628 -3.2541 -2.3101 -0.7587 -1.1829 -0.6841 0.5152 . . . 52 y -4.7664 . -2.7856 -1.8503 -0.8384 -0.5370 -0.7301 -0.1657 0.0940 -0.9027 . 53 y -5.0337 -2.9243 -4.9733 -1.6571 -0.8021 -0.2544 -0.9747 -1.0647 -1.6391 0.2254 . 54 y . -4.9016 -3.7879 -3.4734 -2.8701 -2.0134 -0.6409 -0.0962 -0.0874 -0.0874 . 55 y -4.0073 -3.0585 -2.0988 -1.0136 0.7943 0.6657 . . . . . 56 y -2.3132 -1.2552 -0.2458 0.3099 0.0115 0.3266 . . . . . 57 y -2.8329 -0.5941 0.4038 1.0414 . . . . . . . 58 y . -4.7406 -2.9175 -3.5695 -2.3018 -0.8142 -0.1593 0.5000 -0.6717 -0.9027 . 59 y -2.9107 -2.0060 -2.2934 -1.4803 -0.4976 0.0014 0.5832 . . . . 60 y -3.0132 -3.1207 -2.1962 -0.9554 0.1959 0.9102 . . . . . 61 y -1.9404 -2.1919 -2.0733 -1.3578 -0.3473 0.2688 0.8340 . . . . 62 y -4.9452 -4.2413 -4.9236 . -2.2275 -1.0941 -0.5007 -0.1903 -0.2985 0.1856 -0.9027 63 y -4.2268 -4.2121 -4.1972 . -2.0463 -0.9241 -1.1595 -0.4434 -2.2504 -0.7708 -0.4526 type=ante(1) subject _NAME_ _0 _1 _2 _3 _4 _5 _6 _7 _8 _9 _10 64 y -2.7801 -3.1985 -3.6762 -2.9442 -3.5972 -1.3345 -0.1468 -0.0874 -0.1657 0.0940 -0.3665 65 y . -4.1589 -3.7336 -4.1190 -2.3593 -0.7133 -0.0394 -0.1506 -0.5007 -1.7020 -0.0874 66 y -4.7999 . . -4.0943 -4.0775 -2.4152 -1.8902 -0.8499 -0.4642 -0.6514 -0.9689 67 y -4.8790 . . . . . -1.7446 -0.0379 0.5057 0.3266 -0.3665 68 y . -3.7176 . . . -4.7999 -3.3927 -0.6662 -0.8678 -1.5245 -1.7320 69 y -3.3637 -3.3285 -3.5189 . -4.1896 -3.2464 -1.7554 -1.4583 -1.6260 -0.7003 -1.1918 70 y -4.6101 -4.6001 . -3.1883 -3.8501 -2.2849 -1.9636 -1.3967 -0.9689 -0.1859 -0.2827 71 y . . -4.9236 -4.2195 -2.9329 -0.8931 -0.6337 -0.3665 -0.0874 -0.6717 -1.7020 72 y -4.2556 -4.2413 -4.9236 -3.8103 -2.9252 -0.9125 0.3694 1.0972 . . . 73 y -4.2268 -3.2845 -3.2464 -4.1351 -2.5856 -1.3614 -0.4487 -0.3360 0.2955 0.0940 -0.3665 74 y . . -3.7879 -4.8714 -4.1666 -1.9484 -0.2514 0.8426 0.4759 . . 75 y . -4.3241 . . . -2.4843 -0.9297 -0.1699 -0.5917 -0.4299 -0.3665 76 y -4.9236 -3.8103 -4.8941 -4.8866 -4.1820 -2.6347 -2.0959 -1.5754 -0.5908 -0.7381 -0.6095 77 y -3.1709 -3.1281 -4.1972 -2.9098 -3.0121 -1.7490 -1.4451 -0.5749 -0.0874 -0.2096 0.3266 78 y -3.8177 -2.7954 -4.8402 -3.2067 . -2.3506 -1.3555 -0.5234 -0.0990 0.1421 0.5832 79 y . . -4.9163 . -3.0984 -2.8941 -1.4377 -1.2579 -0.3863 0.1931 0.2618 80 y . -4.9016 -4.1972 -3.4812 -2.4095 -2.1389 -1.6605 -1.0216 -0.6717 -0.6180 -0.1657 81 y -3.8536 -2.6022 -4.1666 -3.7416 -2.2090 -0.4185 0.7488 . . . . 82 y -2.6528 -3.8103 -2.9252 -0.4942 0.6077 0.2618 . . . . . 83 y -4.9309 -4.9236 -4.9163 -2.6814 -1.4737 -1.4563 -0.5917 -0.8499 -0.2716 -0.5805 0.3266 84 y . -4.9236 . -4.2195 -2.0055 -0.1757 0.4278 0.8746 . . . 85 y . . -3.3758 -2.9265 -2.1487 -2.1172 -1.2731 -0.7748 -0.3315 -0.0874 0.7321 86 y . . -4.2767 -3.5624 -1.8621 -1.5876 -0.3517 -0.9816 -0.4105 -0.4526 0.0940 87 y -4.9309 -1.9097 -1.4906 -0.3817 -0.8273 0.4961 0.5832 . . . . 88 y -2.6458 -1.7854 -1.9678 -0.5760 -0.4958 -0.7143 -0.2914 -0.5314 . -0.0874 . 89 y -2.7688 -1.9174 -2.5515 -0.2263 0.7515 . . . . . . 90 y -3.2541 -3.7336 -4.8162 . -4.8081 -2.8287 -1.0136 -0.9816 -0.5007 -0.3665 0.4759 91 y -3.1134 -3.0679 -4.1351 -3.1903 -2.5428 -1.1841 -0.8137 -0.4796 0.3266 . . 92 y -2.6993 -1.8328 -0.6126 0.4435 0.5832 -0.3665 . . . . . 93 y -3.7954 -3.4812 -4.1510 -3.0202 -1.0992 0.3435 -0.1657 0.4082 . . . 94 y -4.3108 . -4.9938 -3.5904 -2.2727 -3.0443 -1.0941 0.6894 . . . 95 y -3.7804 -2.3346 -3.1397 -3.3231 -3.2864 -2.0237 -1.2459 -0.9572 -0.8767 -1.5366 -0.5450 96 y -4.9593 . -4.9523 -3.5481 -3.1059 -2.7644 -1.3135 -0.1573 -0.3665 0.0486 -0.1657 97 y -3.8607 -3.5481 -3.5189 -4.8866 -1.3180 -0.8906 -0.5672 -0.4434 -1.2459 0.0940 -1.4999 98 y -1.2851 -1.7141 -1.1289 -2.5835 -1.0547 -0.2873 0.0406 . . . . 99 y -2.4981 -2.4123 -3.4499 -1.2090 -1.0136 0.3266 0.3266 . . . . 100 y -4.6101 -2.7826 . . -2.7187 -0.8341 0.4978 0.8746 . . . 101 y -4.2836 -4.2697 -4.2556 -4.2413 -3.2994 -2.1231 -0.8513 -0.0945 -0.2295 0.0292 -0.6717 102 y -3.4258 -2.6823 -3.0954 -2.5645 -0.4248 0.5000 0.4759 . . . . 103 y . -2.9872 -2.0509 -1.6391 -3.7256 -2.5772 -1.7611 -1.2459 -0.2483 -0.2377 -0.6717 104 y -4.9523 -4.9452 -2.9702 -3.4888 -2.6266 -1.2078 -0.1613 0.2149 0.2618 -0.9027 . 105 y . -3.3141 -2.7533 -0.0731 -0.5657 0.3694 -0.3665 . . . . 106 y -4.1666 -3.7416 -3.0121 -4.7749 -4.0690 -1.3713 -0.8224 -0.6272 -1.4674 -0.7708 -0.6337 107 y . -3.8466 -4.2341 -3.8103 -2.7878 -1.2276 0.0168 -0.4526 -1.1226 0.3828 . 108 y -3.8177 -4.9016 -3.0833 -3.2227 -2.0398 0.0436 0.4435 0.7321 . . . 109 y -2.7029 -1.4038 -2.9573 -2.0570 -0.5469 0.0449 0.1644 0.3266 . . . 110 y -3.7176 -4.1026 -4.0860 -4.0690 -1.5096 0.0062 1.2603 . . . . 111 y . -2.2398 -1.9322 -2.5118 -2.4271 -4.1666 -1.8868 -0.7319 -0.2005 0.0940 -0.6717 112 y -3.8607 -3.4285 -2.6852 -0.5596 -0.1330 0.0486 . . . . . type=ante(1) The CORR Procedure 11 Variables: _0 _1 _2 _3 _4 _5 _6 _7 _8 _9 _10 Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum _0 85 -3.78929 0.83736 -322.09000 -5.03370 -1.28510 _1 89 -3.40944 1.04116 -303.44060 -4.95930 -0.59410 _2 94 -3.41732 1.28766 -321.22800 -4.99380 0.40380 _3 98 -2.64156 1.61545 -258.87280 -5.01400 1.12360 _4 103 -1.99522 1.47202 -205.50730 -4.92360 0.79430 _5 105 -1.27154 1.31320 -133.51130 -4.88660 0.91020 _6 100 -0.77563 1.02674 -77.56250 -4.20470 1.26030 _7 85 -0.48030 0.79372 -40.82550 -3.81770 1.09720 _8 73 -0.56730 0.65418 -41.41320 -2.37420 0.73210 _9 67 -0.51085 0.57900 -34.22670 -2.28490 0.38280 _10 56 -0.40823 0.64667 -22.86060 -1.74180 0.87460 Pearson Correlation Coefficients Prob > |r| under H0: Rho=0 Number of Observations _0 _1 _2 _3 _4 _5 _6 _7 _8 _9 _10 _0 1.00000 0.58530 0.53167 0.47624 0.34052 0.33196 0.20738 0.00499 -0.02428 -0.00461 0.08833 <.0001 <.0001 <.0001 0.0021 0.0030 0.0783 0.9693 0.8671 0.9757 0.5928 85 71 74 76 79 78 73 62 50 46 39 _1 0.58530 1.00000 0.71082 0.62084 0.52473 0.39112 0.25332 0.11064 0.07125 0.16158 -0.05186 <.0001 <.0001 <.0001 <.0001 0.0002 0.0252 0.3880 0.6157 0.2726 0.7474 71 89 80 81 83 85 78 63 52 48 41 _2 0.53167 0.71082 1.00000 0.77584 0.59150 0.43874 0.21226 0.08102 -0.02226 -0.15781 -0.15248 <.0001 <.0001 <.0001 <.0001 <.0001 0.0540 0.5146 0.8682 0.2591 0.3290 74 80 94 88 91 89 83 67 58 53 43 _3 0.47624 0.62084 0.77584 1.00000 0.78690 0.53711 0.27746 0.03495 0.04007 0.16881 0.28086 <.0001 <.0001 <.0001 <.0001 <.0001 0.0093 0.7723 0.7611 0.2224 0.0648 76 81 88 98 94 92 87 71 60 54 44 _4 0.34052 0.52473 0.59150 0.78690 1.00000 0.82339 0.57341 0.30811 0.05411 0.01054 0.17779 0.0021 <.0001 <.0001 <.0001 <.0001 <.0001 0.0061 0.6661 0.9363 0.2167 79 83 91 94 103 100 94 78 66 60 50 _5 0.33196 0.39112 0.43874 0.53711 0.82339 1.00000 0.78402 0.51240 0.05098 0.02803 0.19326 0.0030 0.0002 <.0001 <.0001 <.0001 <.0001 <.0001 0.6729 0.8246 0.1615 78 85 89 92 100 105 98 83 71 65 54 _6 0.20738 0.25332 0.21226 0.27746 0.57341 0.78402 1.00000 0.73555 0.39907 0.31081 0.25393 0.0783 0.0252 0.0540 0.0093 <.0001 <.0001 <.0001 0.0005 0.0111 0.0614 73 78 83 87 94 98 100 84 72 66 55 _7 0.00499 0.11064 0.08102 0.03495 0.30811 0.51240 0.73555 1.00000 0.59282 0.33454 0.28943 0.9693 0.3880 0.5146 0.7723 0.0061 <.0001 <.0001 <.0001 0.0057 0.0305 62 63 67 71 78 83 84 85 72 67 56 _8 -0.02428 0.07125 -0.02226 0.04007 0.05411 0.05098 0.39907 0.59282 1.00000 0.46308 0.29237 0.8671 0.6157 0.8682 0.7611 0.6661 0.6729 0.0005 <.0001 <.0001 0.0288 50 52 58 60 66 71 72 72 73 66 56 type=ante(1) The CORR Procedure Pearson Correlation Coefficients Prob > |r| under H0: Rho=0 Number of Observations _0 _1 _2 _3 _4 _5 _6 _7 _8 _9 _10 _9 -0.00461 0.16158 -0.15781 0.16881 0.01054 0.02803 0.31081 0.33454 0.46308 1.00000 0.37305 0.9757 0.2726 0.2591 0.2224 0.9363 0.8246 0.0111 0.0057 <.0001 0.0046 46 48 53 54 60 65 66 67 66 67 56 _10 0.08833 -0.05186 -0.15248 0.28086 0.17779 0.19326 0.25393 0.28943 0.29237 0.37305 1.00000 0.5928 0.7474 0.3290 0.0648 0.2167 0.1615 0.0614 0.0305 0.0288 0.0046 39 41 43 44 50 54 55 56 56 56 56 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _1 Number of Observations Read 112 Number of Observations Used 71 Number of Observations with Missing Values 41 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 25.91882 25.91882 35.95 <.0001 Error 69 49.74057 0.72088 Corrected Total 70 75.65939 Root MSE 0.84905 R-Square 0.3426 Dependent Mean -3.25078 Adj R-Sq 0.3330 Coeff Var -26.11822 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.56524 0.45907 -1.23 0.2224 _0 1 0.73174 0.12203 6.00 <.0001 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _2 Number of Observations Read 112 Number of Observations Used 66 Number of Observations with Missing Values 46 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 67.22755 33.61377 36.17 <.0001 Error 63 58.53954 0.92920 Corrected Total 65 125.76709 Root MSE 0.96395 R-Square 0.5345 Dependent Mean -3.24537 Adj R-Sq 0.5198 Coeff Var -29.70234 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.28964 0.54634 0.53 0.5979 _0 1 0.18596 0.18570 1.00 0.3205 _1 1 0.89690 0.14778 6.07 <.0001 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _3 Number of Observations Read 112 Number of Observations Used 62 Number of Observations with Missing Values 50 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 117.39830 39.13277 38.70 <.0001 Error 58 58.64806 1.01117 Corrected Total 61 176.04636 Root MSE 1.00557 R-Square 0.6669 Dependent Mean -2.32226 Adj R-Sq 0.6496 Coeff Var -43.30144 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 1.28341 0.58392 2.20 0.0320 _0 1 0.01788 0.19990 0.09 0.9290 _1 1 0.30883 0.19477 1.59 0.1183 _2 1 0.80956 0.13336 6.07 <.0001 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _4 Number of Observations Read 112 Number of Observations Used 59 Number of Observations with Missing Values 53 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 87.70951 21.92738 30.40 <.0001 Error 54 38.95604 0.72141 Corrected Total 58 126.66556 Root MSE 0.84936 R-Square 0.6924 Dependent Mean -1.59786 Adj R-Sq 0.6697 Coeff Var -53.15579 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.57986 0.52203 1.11 0.2716 _0 1 0.02712 0.17098 0.16 0.8746 _1 1 0.13711 0.17545 0.78 0.4379 _2 1 -0.02624 0.15203 -0.17 0.8636 _3 1 0.71226 0.11223 6.35 <.0001 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _5 Number of Observations Read 112 Number of Observations Used 57 Number of Observations with Missing Values 55 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 5 45.70588 9.14118 23.34 <.0001 Error 51 19.97396 0.39165 Corrected Total 56 65.67984 Root MSE 0.62582 R-Square 0.6959 Dependent Mean -0.80427 Adj R-Sq 0.6661 Coeff Var -77.81173 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.45237 0.39572 1.14 0.2583 _0 1 0.06269 0.12620 0.50 0.6215 _1 1 0.10274 0.13060 0.79 0.4351 _2 1 -0.05429 0.11355 -0.48 0.6346 _3 1 -0.10836 0.11233 -0.96 0.3393 _4 1 0.68781 0.10213 6.73 <.0001 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _6 Number of Observations Read 112 Number of Observations Used 51 Number of Observations with Missing Values 61 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 6 40.12652 6.68775 17.17 <.0001 Error 44 17.13408 0.38941 Corrected Total 50 57.26060 Root MSE 0.62403 R-Square 0.7008 Dependent Mean -0.54475 Adj R-Sq 0.6600 Coeff Var -114.55413 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.55306 0.43127 -1.28 0.2064 _0 1 -0.11303 0.13166 -0.86 0.3953 _1 1 0.03915 0.14127 0.28 0.7830 _2 1 -0.01294 0.11776 -0.11 0.9130 _3 1 -0.15418 0.11576 -1.33 0.1897 _4 1 -0.13484 0.14616 -0.92 0.3613 _5 1 1.07802 0.14410 7.48 <.0001 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _7 Number of Observations Read 112 Number of Observations Used 39 Number of Observations with Missing Values 73 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 7 10.97709 1.56816 5.43 0.0004 Error 31 8.94953 0.28869 Corrected Total 38 19.92662 Root MSE 0.53730 R-Square 0.5509 Dependent Mean -0.40966 Adj R-Sq 0.4495 Coeff Var -131.15776 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.04415 0.53438 -0.08 0.9347 _0 1 -0.02554 0.15484 -0.16 0.8701 _1 1 -0.10152 0.13392 -0.76 0.4541 _2 1 0.12928 0.11771 1.10 0.2805 _3 1 -0.05321 0.12283 -0.43 0.6679 _4 1 -0.02326 0.14038 -0.17 0.8695 _5 1 0.13574 0.20222 0.67 0.5070 _6 1 0.44830 0.14934 3.00 0.0053 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _8 Number of Observations Read 112 Number of Observations Used 30 Number of Observations with Missing Values 82 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 8 5.86873 0.73359 2.24 0.0663 Error 21 6.87624 0.32744 Corrected Total 29 12.74497 Root MSE 0.57222 R-Square 0.4605 Dependent Mean -0.51614 Adj R-Sq 0.2549 Coeff Var -110.86526 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.24365 0.73150 -0.33 0.7424 _0 1 0.09864 0.18300 0.54 0.5956 _1 1 0.03723 0.17960 0.21 0.8378 _2 1 -0.17792 0.15471 -1.15 0.2630 _3 1 -0.02282 0.13989 -0.16 0.8720 _4 1 0.20695 0.16236 1.27 0.2164 _5 1 -0.39252 0.26550 -1.48 0.1541 _6 1 0.09119 0.20448 0.45 0.6602 _7 1 0.77569 0.24581 3.16 0.0048 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _9 Number of Observations Read 112 Number of Observations Used 26 Number of Observations with Missing Values 86 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 9 2.33700 0.25967 1.34 0.2937 Error 16 3.11004 0.19438 Corrected Total 25 5.44704 Root MSE 0.44088 R-Square 0.4290 Dependent Mean -0.51336 Adj R-Sq 0.1079 Coeff Var -85.88152 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.22745 0.61401 -0.37 0.7159 _0 1 0.07724 0.15720 0.49 0.6298 _1 1 0.17919 0.14302 1.25 0.2283 _2 1 -0.23845 0.12475 -1.91 0.0740 _3 1 -0.11734 0.11261 -1.04 0.3129 _4 1 0.05677 0.13769 0.41 0.6856 _5 1 0.24141 0.22035 1.10 0.2895 _6 1 -0.02451 0.17291 -0.14 0.8891 _7 1 0.07260 0.25124 0.29 0.7763 _8 1 0.09492 0.18726 0.51 0.6192 type=ante(1) The REG Procedure Model: MODEL1 Dependent Variable: _10 Number of Observations Read 112 Number of Observations Used 23 Number of Observations with Missing Values 89 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 10 4.31859 0.43186 1.09 0.4380 Error 12 4.75990 0.39666 Corrected Total 22 9.07850 Root MSE 0.62981 R-Square 0.4757 Dependent Mean -0.32159 Adj R-Sq 0.0388 Coeff Var -195.84127 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.92289 1.02761 -0.90 0.3868 _0 1 -0.13020 0.28067 -0.46 0.6510 _1 1 0.10426 0.30690 0.34 0.7399 _2 1 -0.49442 0.31373 -1.58 0.1410 _3 1 0.35082 0.17810 1.97 0.0724 _4 1 0.05803 0.20130 0.29 0.7780 _5 1 0.13910 0.34339 0.41 0.6925 _6 1 -0.39582 0.27954 -1.42 0.1822 _7 1 0.51675 0.36629 1.41 0.1837 _8 1 -0.22323 0.36986 -0.60 0.5574 _9 1 0.16199 0.39514 0.41 0.6891