The following results were obtained from a multiple regressi

The following results were obtained from a multiple regression analysis of supermarket profitability. The dependent variable, y, is the profit (in thousands of dollars) and the independent variables, x1 and x2, are the food sales and nonfood sales (also in thousands of dollars). ANOVA df SS MS F Regression 2 562.363 11.23 Error 9 225.326 Coefficients Standard Error Intercept -15.0620 x1 0.0972 0.054 x2 0.2484 0.092 Coefficient of determination = 0.7139 a. Write the estimated regression equation for the relationship between the variables. b. What can you say about the strength of this relationship? c. Carry out a test of whether y is significantly related to the independent variables. Use a .01 level of significance. d. Carry out a test of whether x1 and y are significantly related. Use a .05 level of significance. e. How many supermarkets are in the sample used here? step by step clearly thank you

Solution

a)

Y = -15.0620 + 0.0972 x1 + 0.2484 x2

b)

r = srqt (0.7139) = 0.8449

the relationship between the variables is very strong because r is close to 1

for the other literals

i can gladly help you but you should post it in a new question