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ý = 82.3 + 2.23x, + 1.40x2. The computer solution, based on a sample of eight weeks, provided SST = 25.8 and SSR = 23.395. (a) Compute and interpret R? and R,2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is . Adjusting for the number of independent variables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is (b) When television advertising was the only independent variable, R? = 0.653 and R,2 = 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis -Select-- v preferred since both R? and R,2 show --Select- v percentage of the variability of y explained when both independent variables are used.

ý = 82.3 + 2.23x, + 1.40x2. The computer solution, based on a sample of eight weeks, provided SST = 25.8 and SSR = 23.395. (a) Compute and interpret R? and R,2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is . Adjusting for the number of independent variables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is (b) When television advertising was the only independent variable, R? = 0.653 and R,2 = 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis -Select-- v preferred since both R? and R,2 show --Select- v percentage of the variability of y explained when both independent variables are used.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x,) and newspaper advertising (x,). The estimated regression equation was ŷ = 82.3 + 2.23x, + 1.40x2. The computer solution, based on a sample of eight weeks, provided SST = 25.8 and SSR = 23.395. (a) Compute and interpret R2 and R_2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is Adjusting for the number of independent variables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is (b) When television advertising was the only independent variable, R2 = 0.653 and R,2 = 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis --Select--- v preferred since both R2 and R show ---Select- v percentage of the variability of y explained when both independent variables are used.
Transcribed Image Text:The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x,) and newspaper advertising (x,). The estimated regression equation was ŷ = 82.3 + 2.23x, + 1.40x2. The computer solution, based on a sample of eight weeks, provided SST = 25.8 and SSR = 23.395. (a) Compute and interpret R2 and R_2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is Adjusting for the number of independent variables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is (b) When television advertising was the only independent variable, R2 = 0.653 and R,2 = 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis --Select--- v preferred since both R2 and R show ---Select- v percentage of the variability of y explained when both independent variables are used.
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