In order to determine whether or not the number of automobiles sold per day (Y) is related to price (X₁ in $1,000), and the number of advertising spots (X₂), data were gathered for 7 days. Part of the regression results is shown below. a. Determine the least squares regression function relating Y to X1 and X2. b. If the company charges $20,000 for each car and uses 10 advertising spots, how many cars would you expect them to sell in a day? c. At $\alpha$ = 0.05, test to determine if the fitted equation developed in Part a represents a significant relationship between the independent variables and the dependent variable.d. At 95% confidence, test to see if price is a significant variable.e. At 95% confidence, test to see if the number of advertising spots is a significant variable.f. Determine the multiple coefficient of determination.

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The Answer of In order to determine whether or not the number of automobiles sold per day (Y) is related to price (X₁ in $1,000), and the number of advertising spots (X₂), data were gathered for 7 days. Part of the regression results is shown below. a. Determine the least squares regression function relating Y to X1 and X2. b. If the company charges $20,000 for each car and uses 10 advertising spots, how many cars would you expect them to sell in a day? c. At $\alpha$ = 0.05, test to determine if the fitted equation developed in Part a represents a significant relationship between the independent variables and the dependent variable.d. At 95% confidence, test to see if price is a significant variable.e. At 95% confidence, test to see if the number of advertising spots is a significant variable.f. Determine the multiple coefficient of determination.

In Order to Determine Whether or Not the Number of Automobiles