Consider the data.x, 1 23 4 5Y₁ 37 6 11 13The estimated regression equation for these data is 9 0.80 +2.40x(0) Compute SSE, SST, and SSR using XLSTAT.SSE =SST -SSR-(b) Compute the coefficient of determination 2Comment 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 provided 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 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.)

Given, Sample x y 1 1 3 2 2 7 3 3 6 4 4 11 5 5 13 By using the linear regression…

Answered: x, 1 23 4 5 Y₁ 37 6 11 13 estimated…

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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x, 1 23 4 5 Y₁ 37 6 11 13 estimated regression equation for these data is 90.80 +2.40x. ) Compute S56, SST, and SSR using XLSTAT SSE SST SSR- b) Compute the coefficient of determination