The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ŷ = 28 + 14x, + 7x2 The data used to develop the model came from survey of 10 stores; for those data, SST = 18,000 and SSR = 13,860. (a) For the estimated regression equation given, compute R2. R2 = (b) Compute R,2. (Round your answer to two decimal places.) (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that % of the variability has been explained by the two independent variables; thus, we conclude that the model ---Select--- explain a large amount of variability.

The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ŷ = 28 + 14x, + 7x2 The data used to develop the model came from survey of 10 stores; for those data, SST = 18,000 and SSR = 13,860. (a) For the estimated regression equation given, compute R2. R2 = (b) Compute R,2. (Round your answer to two decimal places.) (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that % of the variability has been explained by the two independent variables; thus, we conclude that the model ---Select--- explain a large amount of variability.

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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