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Lab 10

Lab 10. Multiple Regression Residuals and Influence. Influence analysis. Standardized B weights. Residuals analysis. Multiple Regression Syntax. Proc Reg; Model dv = iv1 iv2 / stb R influence ; Plot dv*iv1 /pred95; Plot dv*iv2; Plot p.*r.; Run ;.

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Lab 10

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  1. Lab 10 Multiple Regression Residuals and Influence

  2. Influence analysis Standardized B weights Residuals analysis Multiple Regression Syntax Proc Reg; Model dv = iv1 iv2 / stb R influence; Plot dv*iv1 /pred95; Plot dv*iv2; Plot p.*r.; Run;

  3. Dependent Variable: MMPI Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 20.07279 10.03640 0.23 0.7951 Error 33 1434.23276 43.46160 Corrected Total 35 1454.30556 Root MSE 6.59254 R-Square 0.0138 Dependent Mean 18.63889 Adj R-Sq -0.0460 Coeff Var 35.36982 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 18.86218 2.53334 7.45 <.0001 0 abuse 1 0.01015 0.01809 0.56 0.5784 0.09835 SES 1 -0.02901 0.10141 -0.29 0.7766 -0.05013

  4. The REG Procedure Model: MODEL1 Dependent Variable: MMPI Output Statistics Dep Var Predicted Std Error Std Error Student Cook's Obs MMPI Value Mean Predict Residual Residual Residual -2-1 0 1 2 D 1 11.0000 18.1326 1.4260 -7.1326 6.436 -1.108 | **| | 0.020 2 12.0000 19.0752 2.5371 -7.0752 6.085 -1.163 | **| | 0.078 3 13.0000 18.1819 1.3643 -5.1819 6.450 -0.803 | *| | 0.010 4 14.0000 17.9296 1.9114 -3.9296 6.309 -0.623 | *| | 0.012 5 12.0000 18.0369 1.6789 -6.0369 6.375 -0.947 | *| | 0.021 6 15.0000 17.8817 2.0726 -2.8817 6.258 -0.460 | | | 0.008 7 12.0000 18.6997 1.3201 -6.6997 6.459 -1.037 | **| | 0.015 8 14.0000 18.9144 1.7037 -4.9144 6.369 -0.772 | *| | 0.014 9 12.0000 18.8259 1.5678 -6.8259 6.403 -1.066 | **| | 0.023

  5. The REG Procedure Model: MODEL1 Dependent Variable: MMPI Output Statistics Hat Diag Cov -------------DFBETAS------------- Obs RStudent H Ratio DFFITS Intercept abuse SES 1 -1.1121 0.0468 1.0268 -0.2464 0.0146 0.0555 -0.1358 2 -1.1692 0.1481 1.1355 -0.4875 0.2685 -0.3397 -0.3306 3 -0.7990 0.0428 1.0799 -0.1690 0.0014 0.0374 -0.0856 4 -0.6169 0.0841 1.1556 -0.1869 0.0682 0.0201 -0.1463 5 -0.9454 0.0649 1.0797 -0.2490 0.0666 0.0324 -0.1776 6 -0.4549 0.0988 1.1937 -0.1507 0.0639 0.0112 -0.1237 7 -1.0385 0.0401 1.0344 -0.2123 -0.1826 0.0540 0.1120 8 -0.7668 0.0668 1.1127 -0.2051 -0.1966 0.0437 0.1557 9 -1.0683 0.0566 1.0465 -0.2616 -0.2467 0.0641 0.1834 10 -0.7821 0.0889 1.1373 -0.2443 -0.2400 0.0626 0.2004 11 -1.0886 0.0752 1.0633 -0.3105 -0.3027 0.0838 0.2425

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