The following estimated regression equation based on 30 observations was presented.ŷ = 17.6 + 3.8x, – 2.3x2 + 7.6x3 + 2.7x4The values of SST and SSR are 1,809 and 1,750, respectively.(a) Compute R. (Round your answer to three decimal places.)R2 =(b) Compute R,. (Round your answer to three decimal places.)(c) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)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.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.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.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.123 TutorialO O O O

Given : The regression equation is : y^=17.6+3.8x1−2.3x2+7.6x3+2.7x4\hat y = 17.6 + 3.8{x_1} -…

(a) Compute R2. (Round your answer to three decimal places.) R2 = (b) Compute R2. (Round your answer to three decimal places.) R,2 = (c) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O 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. O 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. O 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. O 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.

(a) Compute R2. (Round your answer to three decimal places.) R2 = (b) Compute R2. (Round your answer to three decimal places.) R,2 = (c) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O 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. O 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. O 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. O 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.

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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