**Regression Analysis Exercise**The following estimated regression equation relating sales to inventory investment and advertising expenditures was given:\[ y = 24 + 14x_1 + 6x_2 \]The data used to develop the model came from a survey of 10 stores; for those data, SST = 19,000 and SSR = 15,010.### Tasks:**(a) Compute $ R^2 $:**- For the estimated regression equation given, compute the coefficient of determination $ R^2 $.\[ R^2 = \_\_\_\_\_\_ \]**(b) Compute $ R^2_a $:**- Compute the adjusted $ R^2 $. (Round your answer to two decimal places.)\[ R^2_a = \_\_\_\_\_\_ \]**(c) Evaluate Model Variability:**- 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 \_\_\_\_\_\_ (use "Select" dropdown to indicate if it explains a large amount of variability or not).

We have to answer question related to regression analysis and coefficient of determination.

Answered: The following estimated regression…

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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