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Hi the selection is not missing it is in the other pictures look below. Problem 10-04 w_StatTools (Simple Linear Regression) Question 3 of 6 Spreadsheet
Hi the selection is not missing it is in the other pictures look below.
Problem 10-04 w_StatTools (Simple Linear Regression) Question 3 of 6 Spreadsheet eBook The owner of Original Italian Pizza restaurant chain wants to understand which variable most strongly influences the sales of his specialty deep-dish pizza. He has gathered data on the monthly sales of deep-dish pizzas at his restaurants and observations on other potentially relevant variables for each of several outlets in central Indiana. These data are provided in the file P10_04.xisx. Estimate a simple linear regression equation between the quantity sold (Y) and each of the following candidates for the best explanatory variable: average price of deep-dish pizzas (X1), monthly advertising expenditures (X2), and disposable income per household in the areas surrounding the outlets (X3). Round your answers for intercept coefficients to the nearest whole number and slope coefficients to two decimal places, if necessary. If your answer is negative number, enter "minus" sign. Y X1 V X2 X3 Which variable is most strongly associated with the number of pizzas sold? Explain your choice. The variable most strongly associated with the number of pizzas sold is the Select v because it has the Select v correlation coefficient with the selectThe owner of Original Italian Pizza restaurant chain wants to understand which variable most strongly influences the sales of his specialty deep-dish pizza. He has gathered data on the monthly sales of deep-dish pizzas at his restaurants and observations on other potentially relevant variables for each of several outlets in central Indiana. These data are provided in the file P10_04.xlsx. Estimate a simple linear regression equation between the quantity sold (Y) and each of the following candidates for the best explanatory variable: average price of deep-dish pizzas (X1), monthly advertising expenditures (X2), and disposable income per household in the areas surrounding the outlets (X3). Round your answers for intercept coefficients to the nearest whole number and slope coefficients to two decimal places, if necessary. If your answer is negative number, enter "minus" sign. Y = X1 Y = X2 Y = X3 Which variable is most strongly associated with the number of pizzas sold? Explain your choice. The variable most strongly associated with the number of pizzas sold is the Select because it has the Select v correlation coefficient with the Select Select average price disposable income per household monthly advertising expenditures quantity sold Of Icon KeyThe owner of Original Italian Pizza restaurant chain wants to understand which variable most strongly influences the sales of his specialty deep-dish pizza. He has gathered data on the monthly sales of deep-dish pizzas at his restaurants and observations on other potentially relevant variables for each of several outlets in central Indiana. These data are provided in the file P10_04.xlsx. Estimate a simple linear regression equation between the quantity sold (Y) and each of the following candidates for the best explanatory variable: average price of deep-dish pizzas (X1), monthly advertising expenditures (X2), and disposable income per household in the areas surrounding the outlets (X3). Round your answers for intercept coefficients to the nearest whole number and slope coefficients to two decimal places, if necessary. If your answer is negative number, enter "minus" sign. X1 Y = X2 V = X3 Which variable is most strongly associated with the number of pizzas sold? Explain your choice. The variable most strongly associated with the number of pizzas sold is the Select v , because it has the Select correlation coefficient with the Select Select strongest weakestThe owner of Original Italian Pizza restaurant chain wants to understand which variable most strongly influences the sales of his specialty deep-dish pizza. He has gathered data on the monthly sales of deep-dish pizzas at his restaurants and observations on other potentially relevant variables for each of several outlets in central Indiana. These data are provided in the file P10_04.xlsx. Estimate a simple linear regression equation between the quantity sold (Y) and each of the following candidates for the best explanatory variable: average price of deep-dish pizzas (X1), monthly advertising expenditures (X2), and disposable income per household in the areas surrounding the outlets (X3). Round your answers for intercept coefficients to the nearest whole number and slope coefficients to two decimal places, if necessary. If your answer is negative number, enter "minus" sign. V = X1 V = X2 V = X3 Which variable is most strongly associated with the number of pizzas sold? Explain your choice. The variable most strongly associated with the number of pizzas sold is the Select v because it has the Select correlation coefficient with the Select Select average price disposable income per household monthly advertising expenditures quantity soldStep by Step Solution
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