Given are five observations for two variables, a and y. 2 8 13 17 20 51 60 46 16 10 The estimated regression equation for these data is y = 68.29 – 2.64æ. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r². Comment on the goodness of fit. (to 3 decimals) The least squares line provided an - Select your answer | fit; |% of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)
Given are five observations for two variables, a and y. 2 8 13 17 20 51 60 46 16 10 The estimated regression equation for these data is y = 68.29 – 2.64æ. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r². Comment on the goodness of fit. (to 3 decimals) The least squares line provided an - Select your answer | fit; |% of the variability in y has been explained by the estimated regression equation (to 1 decimal). 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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