Comcast would like to develop the ability to predict the monthly cable bill for a customer A multiple regression model was developed using a random sample of customers using the following independent variables TV the number of televisions in the household People the number of people living in the household Years the number of years that the household has been a Comcast customer The following figure shows the regression output from Excel a Calculate the multiple coefficient of determination b Test the significance of the overall regression model using a 0 05 c Calculate the adjusted multiple coefficient of determination AppendixLO1 10 ANOVA 11 12 Regression 13 Residual df SS 3 9526 63 225 24 7970 33 27 17496 96 14 Total 15 16 Coefficients Standard Error 17 Intercept 39 3247 15 4384 18 TV 11 9025 3 2437 19 People 7 3994 2 7922 20 Years 0 8577 1 2931

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Question: Comcast would like to develop the ability to predict the monthly cable bill for a customer. A multiple regression model was developed using a random

Comcast would like to develop the ability to predict the monthly cable bill for a customer. A multiple regression model was developed using a random sample of customers using the following independent variables:

TV: the number of televisions in the household People: the number of people living in the household Years: the number of years that the household has been a Comcast customer The following figure shows the regression output from Excel. 10 ANOVA 11 12 Regression 13 Residual df SS 3 9526.63 225

a. Calculate the multiple coefficient of determination.

b. Test the significance of the overall regression model using a = 0.05.

c. Calculate the adjusted multiple coefficient of determination.AppendixLO1

10 ANOVA 11 12 Regression 13 Residual df SS 3 9526.63 225 24 7970.33 27 17496.96 14 Total 15 16 Coefficients Standard Error 17 Intercept 39.3247 15.4384 18 TV 11.9025 3.2437 19 People 7.3994 2.7922 20 Years -0.8577 1.2931

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