Recall that R2 is the multiple coefficient of determination and is an indication of the goodness of fit for an estimated multiple regression equation. That is, it is the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation. Since it is a proportion, it will only take on values between 0 and 1. It is calculated as follows where SSR is the sum of squares due to regression and SST is the total sum of squares. R2 - SSR SST We are given that SST = 1,808 and SSR = 1,778. Use these values to find the value of R2, rounding the result to three decimal places. %3D %3D

Recall that R2 is the multiple coefficient of determination and is an indication of the goodness of fit for an estimated multiple regression equation. That is, it is the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation. Since it is a proportion, it will only take on values between 0 and 1. It is calculated as follows where SSR is the sum of squares due to regression and SST is the total sum of squares. R2 - SSR SST We are given that SST = 1,808 and SSR = 1,778. Use these values to find the value of R2, rounding the result to three decimal places. %3D %3D

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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