Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .785a .616 .573 2.16372 1.887 a. Predictors: (Constant), Age, Cholesterol, Waist Circumference, Diastolic BP b. Dependent Variable: BMI
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Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .864a .747 .691 .87153 ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 20.164 2 10.082 13.273 .002b Residual 6.836 9 .760 Total 27.000 11 Coefficientsa Unstandardized Coefficients Standardized Coefficients t Sig. Model B Std. Error Beta 1 (Constant) -8.883 3.266 -2.720 .024 icecream -.050 .080 -.171 -.634 .542 weather .205 .056 .992 3.675 .005 a. Dependent Variable: crime
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Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .379a .144 .143 38167.328 a. Predictors: (Constant), Highest year of school completed ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 6.328E+11 1 6.328E+11 434.409 .000b Residual 3.773E+12 2590 1456744957 Total 4.406E+12 2591 a. Dependent Variable: Family income in constant dollars b. Predictors: (Constant), Highest year of school completed Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) -24584.308 3566.296 -6.894 .000 Highest year of school completed 5261.885 252.460 .379 20.842 .000 a. Dependent Variable: Family income in constant dollars
Interpret the following table Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 0.611 0.374 0.195 432.98297 ANOVA Model Sum of Squares df Mean Square F Sig. 1 Regression 783396.227 2 391698.114 2.089 0.194 Residual 1312319.739 7 187474.248 Total 2095715.967 9
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