HW8-prob1-SASoutput

HW8-prob1-SASoutput - Initial Analysis 49 13:06 Monday...

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Initial Analysis 49 13:06 Monday, April 6, 2009 The REG Procedure Model: MODEL1 Dependent Variable: y Number of Observations Read 100 Number of Observations Used 100 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 5 1703.02133 340.60427 1.66 0.1509 Error 94 19239 204.67123 Corrected Total 99 20942 Root MSE 14.30634 R-Square 0.0813 Dependent Mean 115.07700 Adj R-Sq 0.0325 Coeff Var 12.43197 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 121.85956 13.52245 9.01 <.0001 age 1 -1.71323 0.74991 -2.28 0.0246 sex 1 0.94132 2.98310 0.32 0.7530 x1 1 2.44807 1.10153 2.22 0.0287 x2 1 -0.21724 0.14129 -1.54 0.1275 x3 1 -0.18124 0.14901 -1.22 0.2269 Parameter Estimates Squared Semi-partial Variable DF Corr Type II Intercept 1 . age 1 0.05101 sex 1 0.00097314 x1 1 0.04827 x2 1 0.02310 x3 1 0.01446 Residual plots and residual analysis 50 13:06 Monday, April 6, 2009 The REG Procedure Model: MODEL1 Dependent Variable: y Number of Observations Read 100 Number of Observations Used 100 Analysis of Variance
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Sum of Mean Source DF Squares Square F Value Pr > F Model 5 1703.02133 340.60427 1.66 0.1509 Error 94 19239 204.67123 Corrected Total 99 20942 Root MSE 14.30634 R-Square 0.0813 Dependent Mean 115.07700 Adj R-Sq 0.0325 Coeff Var 12.43197 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 121.85956 13.52245 9.01 <.0001 age 1 -1.71323 0.74991 -2.28 0.0246 sex 1 0.94132 2.98310 0.32 0.7530 x1 1 2.44807 1.10153 2.22 0.0287 x2 1 -0.21724 0.14129 -1.54 0.1275 x3 1 -0.18124 0.14901 -1.22 0.2269 Residual plots and residual analysis 51 13:06 Monday, April 6, 2009 The REG Procedure Model: MODEL1 Dependent Variable: y Output Statistics Dependent Predicted Std Error Std Error Student Obs Variable Value Mean Predict Residual Residual Residual 1 122.2000 120.4742 2.9794 1.7258 13.993 0.123 2 118.0000 112.9591 4.6157 5.0409 13.541 0.372 3 124.3000 109.9247 3.1215 14.3753 13.962 1.030 4 126.6000 124.5814 4.4846 2.0186 13.585 0.149 5 118.4000 114.4071 2.5840 3.9929 14.071 0.284 6 121.1000 114.5755 3.5095 6.5245 13.869 0.470 7 60.3000 112.3066 3.2007 -52.0066 13.944 -3.730 8 125.5000 113.6149 3.3269 11.8851 13.914 0.854 9 116.9000 107.1750 4.7093 9.7250 13.509 0.720 10 123.7000 115.2414 2.5994 8.4586 14.068 0.601 11 97.6000 107.8278 3.6792 -10.2278 13.825 -0.740 12 126.5000 116.4377 2.6673 10.0623 14.055 0.716 13 87.7000 118.2153 3.4677 -30.5153 13.880 -2.199 14 104.1000 108.2481 4.7983 -4.1481 13.478 -0.308 15 126.9000 120.0463 3.2704 6.8537 13.928 0.492 16 117.8000 113.4875 3.1225 4.3125 13.961 0.309 17 128.7000 111.3283 2.5476 17.3717 14.078 1.234 18 110.8000 114.7042 3.0039 -3.9042 13.987 -0.279 19 123.2000 110.9851 3.3389 12.2149 13.911 0.878 20 118.9000 119.0429 2.9157 -0.1429 14.006 -0.0102 21 114.7000 120.7488 3.2810 -6.0488 13.925 -0.434 22 126.7000 113.3363 2.7272 13.3637 14.044 0.952 23 73.4000 118.4133 4.1104 -45.0133 13.703 -3.285 24 126.0000 112.1311
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This note was uploaded on 07/16/2009 for the course MA 684 taught by Professor Heeren during the Spring '09 term at BU.

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HW8-prob1-SASoutput - Initial Analysis 49 13:06 Monday...

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