The following estimated regression equation based on 30 observations was presented.\[\hat{y} = 17.6 + 3.8x_1 - 2.3x_2 + 7.6x_3 + 2.7x_4\]The values of SST and SSR are 1,809 and 1,757, respectively.(a) Compute $ R^2 $. (Round your answer to three decimal places.)$ R^2 = $ [ ](b) Compute $ R_a^2 $. (Round your answer to three decimal places.)$ R_a^2 = $ [ ](c) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)- $ \circ $ The estimated regression equation provided a good fit as a large proportion of the variability in $ y $ has been explained by the estimated regression equation.- $ \circ $ The estimated regression equation did not provide a good fit as a small proportion of the variability in $ y $ has been explained by the estimated regression equation.- $ \circ $ The estimated regression equation did not provide a good fit as a large proportion of the variability in $ y $ has been explained by the estimated regression equation.- $ \circ $ The estimated regression equation provided a good fit as a small proportion of the variability in $ y $ has been explained by the estimated regression equation.

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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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The following estimated regression equation based on 30 observations was presented. ŷ = 17.6 + 3.8x, - 2.3x2 + 7.6x3 + 2.7x4 The values of SST and SSR are 1,809 and 1,757, respectively.