Consider the data.X1 23 4 5Y₁ 475 11 15The estimated regression equation for these data is 9-0.60 +2.60x.(a) Compute SSE, SST, and SSR using equations SSE = X(Y/-)², SST - 2y/-)2, and SSR = X(9/-)².-SSE-SST -SSR-(b) Compute the coefficient of determination 2.2-Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)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.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.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.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.)

The given regression equation is y^=0.60+2.60x.

Answered: Consider the data. x 12 3 4 Y₁ 4 5 7 S…

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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