The owner of a pizza restaurant chain would like to predict the sales of her specialty,...

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The owner of a pizza restaurant chain would like to predict the sales of her specialty, the deep-dish Mexican pizza. She has gathered data on monthly sales of the deep-dish Mexican pizza at her restaurants. She has also gathered information related to the average price of the deep-dish pizzas, the monthly advertising expenditures and the disposable income per household in the areas surrounding the restaurants. Below you will find output from the stepwise regression analysis. The p-value method was used with a cutoff of 0.05. Summary measures Multiple R R-Square Adj R-Square StErr of Estimate Regression coefficients 0.9513 0.9049 0.8990 3924.53 Coefficient Constant -45233.64 Monthly Adv. Expenditures 1.972 Std Err 8914.72 0.160 t-value p-value -5.0740 0.0001 12.3405 0.0000 The owner of a pizza restaurant chain would like to predict the sales of her specialty, the deep-dish Mexican pizza. She has gathered data on monthly sales of the deep-dish Mexican pizza at her restaurants. She has also gathered information related to the average price of the deep-dish pizzas, the monthly advertising expenditures and the disposable income per household in the areas surrounding the restaurants. Below you will find output from the stepwise regression analysis. The p-value method was used with a cutoff of 0.05. Summary measures Multiple R R-Square Adj R-Square StErr of Estimate Regression coefficients 0.9513 0.9049 0.8990 3924.53 Coefficient Constant -45233.64 Monthly Adv. Expenditures 1.972 Std Err 8914.72 0.160 t-value p-value -5.0740 0.0001 12.3405 0.0000 Disposable income variable being added Summary measures % Change Multiple R 0.9608 1.0% R-Square 0.9232 2.0% Adj R-Square 0.9130 1.6% StErr of Estimate 3643.11 -7.2% Average price variable being added Summary measures Multiple R R-Square Adj R-Square StErr of Estimate % Change 0.9723 1.2% 0.9454 2.4% 0.9337 2.3% 3179.03 -12.7% Regression coefficients Coefficient Std Err t-value p-value Constant -73971.53 23803.23 -3.1076 0.0077 Monthly Adv. Expenditures 0.952 0.375 2.5387 0.0236 Disposable Income 2.606 0.977 2.6659 0.0184 Average Price -2056.27 861.342 -2.3873 0.0316 Choose all the correct statements for a 0.10 significance level. The owner of a pizza restaurant chain would like to predict the sales of her specialty, the deep-dish Mexican pizza. She has gathered data on monthly sales of the deep-dish Mexican pizza at her restaurants. She has also gathered information related to the average price of the deep-dish pizzas, the monthly advertising expenditures and the disposable income per household in the areas surrounding the restaurants. Below you will find output from the stepwise regression analysis. The p-value method was used with a cutoff of 0.05. Summary measures Multiple R R-Square Adj R-Square StErr of Estimate Regression coefficients 0.9513 0.9049 0.8990 3924.53 Coefficient Constant -45233.64 Monthly Adv. Expenditures 1.972 Std Err 8914.72 0.160 t-value p-value -5.0740 0.0001 12.3405 0.0000 The owner of a pizza restaurant chain would like to predict the sales of her specialty, the deep-dish Mexican pizza. She has gathered data on monthly sales of the deep-dish Mexican pizza at her restaurants. She has also gathered information related to the average price of the deep-dish pizzas, the monthly advertising expenditures and the disposable income per household in the areas surrounding the restaurants. Below you will find output from the stepwise regression analysis. The p-value method was used with a cutoff of 0.05. Summary measures Multiple R R-Square Adj R-Square StErr of Estimate Regression coefficients 0.9513 0.9049 0.8990 3924.53 Coefficient Constant -45233.64 Monthly Adv. Expenditures 1.972 Std Err 8914.72 0.160 t-value p-value -5.0740 0.0001 12.3405 0.0000 The owner of a pizza restaurant chain would like to predict the sales of her specialty, the deep-dish Mexican pizza. She has gathered data on monthly sales of the deep-dish Mexican pizza at her restaurants. She has also gathered information related to the average price of the deep-dish pizzas, the monthly advertising expenditures and the disposable income per household in the areas surrounding the restaurants. Below you will find output from the stepwise regression analysis. The p-value method was used with a cutoff of 0.05. Summary measures Multiple R R-Square Adj R-Square StErr of Estimate Regression coefficients 0.9513 0.9049 0.8990 3924.53 Coefficient Constant -45233.64 Monthly Adv. Expenditures 1.972 Std Err 8914.72 0.160 t-value p-value -5.0740 0.0001 12.3405 0.0000 Disposable income variable being added Summary measures % Change Multiple R 0.9608 1.0% R-Square 0.9232 2.0% Adj R-Square 0.9130 1.6% StErr of Estimate 3643.11 -7.2% Average price variable being added Summary measures Multiple R R-Square Adj R-Square StErr of Estimate % Change 0.9723 1.2% 0.9454 2.4% 0.9337 2.3% 3179.03 -12.7% Regression coefficients Coefficient Std Err t-value p-value Constant -73971.53 23803.23 -3.1076 0.0077 Monthly Adv. Expenditures 0.952 0.375 2.5387 0.0236 Disposable Income 2.606 0.977 2.6659 0.0184 Average Price -2056.27 861.342 -2.3873 0.0316 Choose all the correct statements for a 0.10 significance level. The owner of a pizza restaurant chain would like to predict the sales of her specialty, the deep-dish Mexican pizza. She has gathered data on monthly sales of the deep-dish Mexican pizza at her restaurants. She has also gathered information related to the average price of the deep-dish pizzas, the monthly advertising expenditures and the disposable income per household in the areas surrounding the restaurants. Below you will find output from the stepwise regression analysis. The p-value method was used with a cutoff of 0.05. Summary measures Multiple R R-Square Adj R-Square StErr of Estimate Regression coefficients 0.9513 0.9049 0.8990 3924.53 Coefficient Constant -45233.64 Monthly Adv. Expenditures 1.972 Std Err 8914.72 0.160 t-value p-value -5.0740 0.0001 12.3405 0.0000