Consider the data.xi12 3 4 5Yi485 11 12The estimated regression equation for these data is ŷ = 2.30 + 1.90x.(a) Compute SSE, SST, and SSR using equations SSE (y,-9)2, SST (y, v)2, and SSR (9,-y)².SSE=SST=SSR==-(b) Compute the coefficient of determination ².12² =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 provided 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 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 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.(c) Compute the sample correlation coefficient. (Round your answer to three decimal places.)

Answered: Consider the data. xi 1 2 3 4 5 Yi 4 85…

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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