A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ŷ = 80 + 4x.Years ofExperienceAnnual Sales($1,000s)Salesperson12345678910(a) Compute SST, SSR, and SSE.SST =SSR =SSE =13446810101113809797102103101119118127136(b) Compute the coefficient of determination. (Round your answer to three decimal places.)2=Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line.The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line.The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line.The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line.(c) What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)

Givenx=years of experiencey=annual sales($1,000s) salesperson x y 1 1 80 2 3 97 3 4 97 4…

Answered: A sales manager collected the following…

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 Showtime Movie Theaters, Inc., used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x 1) and newspaper advertising (x 2). The estimated regression equation was Weekly Gross Revenue ($1000s) Televison Advertising ($1000s) Newspaper Advertising ($1000s) 97 6 1.5 91 3 2 95 5 2.5 93 3.5 2.5 96 4 4.3 94 4.5 2.3 95 3.5 4.2 95 4 3.5 ŷ = 82.5 + 2.01 x 1 + 1.26 x 2The computer solution provided SST = 24 and SSR = 22.876. Compute R 2 and R a 2 (to 3 decimals). R 2 R a 2 When television advertising was the only independent variable, R 2 = 0.551 and R a 2 = 0.476. Are the multiple regression analysis results preferable?
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A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 80 + 4x. Years of Annual Sales Salesperson Experience ($1,000s) 1 1 80 3 97 3 4 92 4 4 102 103 6 8 111 7 10 119 8 10 123 9 11 117 10 13 136 (a) Compute the residuals. Years of Annual Sales Residuals Experience ($1,000s) 1 80 97 4 92 4 102 6 103 8 111 10 119 10 123 11 117 13 136
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