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Consider the following estimated regression equation, based on 10 observations. 29.1270+ 0.5906x1 +0.4980x2 The values of SST and SSR are 6,724.125 and 6,216.375, respectively. a. Find SSE (to 2 decimals). b. Compute R2 (to 3 decimals). c. Compute Ra (to 3 decimals). d. Comment on the goodness of fit. The estimated regression equation Select your answer >

Consider the following estimated regression equation, based on 10 observations. 29.1270+ 0.5906x1 +0.4980x2 The values of SST and SSR are 6,724.125 and 6,216.375, respectively. a. Find SSE (to 2 decimals). b. Compute R2 (to 3 decimals). c. Compute Ra (to 3 decimals). d. Comment on the goodness of fit. The estimated regression equation Select your answer >

MATLAB: An Introduction with Applications
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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Consider the following estimated regression equation, based on 10 observations. â = 29.1270 +0.5906æ1+0.49802 The values of SST and SSR are 6,724.125 and 6,216.375, respectively. a. Find SSE (to 2 decimals). b. Compute R2 (to 3 decimals). c. Compute R2 (to 3 decimals). d. Comment on the goodness of fit. The estimated regression equation Select your answer - E V L N >
Transcribed Image Text:Consider the following estimated regression equation, based on 10 observations. â = 29.1270 +0.5906æ1+0.49802 The values of SST and SSR are 6,724.125 and 6,216.375, respectively. a. Find SSE (to 2 decimals). b. Compute R2 (to 3 decimals). c. Compute R2 (to 3 decimals). d. Comment on the goodness of fit. The estimated regression equation Select your answer - E V L N >
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