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 wasý = 82.3 + 2.29x, + 1.90x2.The computer solution, based on a sample of eight weeks, provided SST = 25.1 and SSR = 23.415.(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 653x . 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 multipleregression 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 (ispreferred since both R2 and R.2 show an increased vv percentage of the variability of y explained when both independent variables are used.

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 (r). The estimated regression equation was 9- 82.3 + 2.29, + 1.90r The computer solution, based on a sample of eight weeks, provided SST - 25.1 and SSR - 23.415. (a) Compute and interpret R and R. (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 653 regression equation is Adjusting for the number of independent vaniables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple (b) when television advertising was the only independent variable, R* - 0.653 and R,- 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis Vv preferred since both R and R, show anincreasedvv percentage of the variability of y explained when both independent variables are used.

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 (r). The estimated regression equation was 9- 82.3 + 2.29, + 1.90r The computer solution, based on a sample of eight weeks, provided SST - 25.1 and SSR - 23.415. (a) Compute and interpret R and R. (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 653 regression equation is Adjusting for the number of independent vaniables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple (b) when television advertising was the only independent variable, R* - 0.653 and R,- 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis Vv preferred since both R and R, show anincreasedvv percentage of the variability of y explained when both independent variables are used.

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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