Consider the data.X 1 2| 345Y; 4 86 1215The estimated regression equation for these data is ý = 1.20 + 2.60x.(a) Compute SSE, SST, and SSR using equations SSE = E(y, - ý,)?, sST = E(y, - y)?, and SSR = E(ŷ, - y)?.SSE =SST =SSR =(b) Compute the coefficient of determination r2.r2 =Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)O 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.O 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.O 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.O 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.(c) Compute the sample correlation coefficient. (Round your answer to three decimal places.)

Answer:----. Date:-----02/10/2021

Answered: The estimated regression equation for…

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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Compute the coefficients b₁ and b₂ for the regression model y₁ = 60+ b₁x₁₁ +b2×21 given the summary statistics shown below. a. Tx₁y b. rx₁y c. Tx₁y d. = 0.80, x2y=0.60, =200, Sx2 = 0.40, Sx₁ 0,5x1x2 =-0.80, гx2y=0.60, rx₁x2 = -0.40, Sx₁ = 200, Sx2 = 100, sy = 500 = 100, 0, Sy = 500 100, Sy = 500 =0.80, x2y = -0.20, 0, rx₁x2 = -0.10, Sx₁ =200, Sx2 = 100, Sy = 500 =0.50, rx2y=0.75, x₁x2 = 0.70, Sx₁ =200, Sx2 =
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