Consider the data.3.12145535601025The estimated regression equation for these data is ŷ = 70 – 3x.(a)Compute SSE, SST, and SSR using equations SSE =E(y; - ŷ;)?, sST = E(y; - y)?, and SSR =SSE =110SST =SSR =170(b) Compute the coefficient of determination r. (Round your answer to three decimal places.)= .930Comment 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 squaresline.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.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 squaresline.(c)Compute the sample correlation coefficient. (Round your answer to three decimal places.).96520

For the given data ( a ) SSE = ? SST = ? SSR = ? ( b ) r^2 =? ( c ) r = ?

Answered: Consider the data. 12 6 20 X; 14 55 35…

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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9. For the next problem, use this data set: X y 1 5 2 3 3 2 4 4 5 7 The regression equation for the above data set is ý = 2.7 +0.5x. (a) Calculate and plot the residuals. (b) Based on your plot, should this regression equation be used to predict y from x?
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