Omnibus Tests of Model Coefficients Chi-square df Sig. Step 1 Step 346.420 4 Model 1 Dimension...

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Omnibus Tests of Model Coefficients Chi-square df Sig. Step 1 Step 346.420 4 Model 1 Dimension Eigenvalue 1 2 3 4 5 Collinearity Diagnostics" Variance Proportions Condition price of Index (Constant) ad for yoplait ad for dannon price of yoplait dannon 3.090 1.000 .00 .01 .01 .00 .00 1.002 1.756 .00 .34 .53 .00 .00 .879 1.875 .00 .62 .34 .00 .00 .023 11.596 .02 .03 .02 .83 .20 .006 21.985 .97 .00 .11 .17 .80 a. Dependent Variable: 1 if person chooses Yoplait, 0 otherwise Logistic Regression Model: Block 0: Beginning Block Classification Table,b Predicted 1 if person chooses Yoplait, 0. otherwise Observed Step 01 if person chooses. Yoplait, 0 otherwise Overall Percentage a. Constant is included in the model. b. The cut value is .500 0 1 0 1594 818 Variables in the Equation 1 Percentage Correct 0 100.0 0 .0 66.1 B S.E. Wald df Sig. Exp(B) Step 0 Constant -.667 .043 240.601 1 2) Using the above created variable as the dependent variable, run a linear regression model that examines the impact feat.yoplait, feat.dannon, price.yoplait, price.dannon on the dependent variable. Now run a binomial logistic regression model for the same relationships Interpret the results of these models for Linear regression model: Descriptive Statistics Mean Std. Deviation N 1 if person chooses .3391 .47351 2412 Yoplait, 0 otherwise ad for yoplait .06 .230 2412 ad for dannon .04 .191 2412 price of yoplait 10.68 1.906 2412 price of dannon 8.16 1.063 2412 Model Summary Change Statistics Adjusted R Square Model R R Square 364 132 1 a. Predictors: (Constant), price of dannon, price of yoplait, ad for yoplait, ad for dannon Std. Error of the Estimate R Square Change F Change df1 dr2 Sig. F Change .131 .44147 .132 91.668 4 2407 Correlations 1 if person chooses Yoplait, 0 otherwise ad for yoplait ad for dannon price of yoplait price of dannon Pearson Correlation 1 if person chooses Yoplait, 0 otherwise ad for yoplait ad for dannon 1.000 .104 -.041 -286 .207 .104 1.000 -.048 -.137 .077 -.041 -.048 1.000 -.014 -.347 price of yoplait -.286 -.137 -.014 1.000 .032 price of dannon .207 .077 -.347 .032 1.000 Sig. (1-tailed) 1 if person chooses Omnibus Tests of Model Coefficients Chi-square df Sig. Step 1 Step 346.420 4 Model 1 Dimension Eigenvalue 1 2 3 4 5 Collinearity Diagnostics" Variance Proportions Condition price of Index (Constant) ad for yoplait ad for dannon price of yoplait dannon 3.090 1.000 .00 .01 .01 .00 .00 1.002 1.756 .00 .34 .53 .00 .00 .879 1.875 .00 .62 .34 .00 .00 .023 11.596 .02 .03 .02 .83 .20 .006 21.985 .97 .00 .11 .17 .80 a. Dependent Variable: 1 if person chooses Yoplait, 0 otherwise Logistic Regression Model: Block 0: Beginning Block Classification Table,b Predicted 1 if person chooses Yoplait, 0. otherwise Observed Step 01 if person chooses. Yoplait, 0 otherwise Overall Percentage a. Constant is included in the model. b. The cut value is .500 0 1 0 1594 818 Variables in the Equation 1 Percentage Correct 0 100.0 0 .0 66.1 B S.E. Wald df Sig. Exp(B) Step 0 Constant -.667 .043 240.601 1 2) Using the above created variable as the dependent variable, run a linear regression model that examines the impact feat.yoplait, feat.dannon, price.yoplait, price.dannon on the dependent variable. Now run a binomial logistic regression model for the same relationships Interpret the results of these models for Linear regression model: Descriptive Statistics Mean Std. Deviation N 1 if person chooses .3391 .47351 2412 Yoplait, 0 otherwise ad for yoplait .06 .230 2412 ad for dannon .04 .191 2412 price of yoplait 10.68 1.906 2412 price of dannon 8.16 1.063 2412 Model Summary Change Statistics Adjusted R Square Model R R Square 364 132 1 a. Predictors: (Constant), price of dannon, price of yoplait, ad for yoplait, ad for dannon Std. Error of the Estimate R Square Change F Change df1 dr2 Sig. F Change .131 .44147 .132 91.668 4 2407 Correlations 1 if person chooses Yoplait, 0 otherwise ad for yoplait ad for dannon price of yoplait price of dannon Pearson Correlation 1 if person chooses Yoplait, 0 otherwise ad for yoplait ad for dannon 1.000 .104 -.041 -286 .207 .104 1.000 -.048 -.137 .077 -.041 -.048 1.000 -.014 -.347 price of yoplait -.286 -.137 -.014 1.000 .032 price of dannon .207 .077 -.347 .032 1.000 Sig. (1-tailed) 1 if person chooses