Given are five observations for two variables, x and y. 5 9 11 15 20 50 52 47 14 13 The estimated regression equation for these data is ŷ = 72.20 – 3.08x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r. Comment on the goodness of fit. (to 3 decimals) The least squares line provided an 1 decimal). - Select your answer - fit; % of the variability in y has been explained by the estimated regression equation (to c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)

Given are five observations for two variables, x and y. 5 9 11 15 20 50 52 47 14 13 The estimated regression equation for these data is ŷ = 72.20 – 3.08x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r. Comment on the goodness of fit. (to 3 decimals) The least squares line provided an 1 decimal). - Select your answer - fit; % of the variability in y has been explained by the estimated regression equation (to c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)

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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