Consider the following dataset obtained from a sample. 13 y 1 21 3 24 2 16 7 29 18 8 33 15 6 29 7 13 10 8 11 15 45 39 (f) The estimated linear regression equation is found to be y = 2.5+1.07x1 +0.75x2 +1.79x3. Using the estimated regression equation, predict îy when x1 = 3, X2 = 17, and x3 = 8. (g) Compute SSE, SST, and SSR. Then, also compute the resulting coefficient of determination and comment on the goodness of fit.

Consider the following dataset obtained from a sample. 13 y 1 21 3 24 2 16 7 29 18 8 33 15 6 29 7 13 10 8 11 15 45 39 (f) The estimated linear regression equation is found to be y = 2.5+1.07x1 +0.75x2 +1.79x3. Using the estimated regression equation, predict îy when x1 = 3, X2 = 17, and x3 = 8. (g) Compute SSE, SST, and SSR. Then, also compute the resulting coefficient of determination and comment on the goodness of fit.

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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