The following estimated regression equation based on 10 observations was presented. ý = 29.1270 + 0.5106Xq + 0.4980X, The values of SST and SSR are 6,714.125 and 6,225.375, respectively. (a) Find SSE. SSE= 488.75 (b) Compute R2. (Round your answer to three decimal places.) R² = 0.927 (c) Compute R₂². (Round your answer to three decimal places.) R₁₂²= 0.906 (d) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O The estimated regression equation provided a good fit as a small proportion of the variability in y has been explained by the estimated regression equation. O The estimated regression equation did not provide a good fit as a small proportion of the variability in y has been explained by the estimated regression equation. O The estimated regression equation did not provide a good fit as a large proportion of the variability in y has been explained by the estimated regression equation. O The estimated regression equation provided a good fit as a large proportion of the variability in v has been explained by the estimated regression equation.
The following estimated regression equation based on 10 observations was presented. ý = 29.1270 + 0.5106Xq + 0.4980X, The values of SST and SSR are 6,714.125 and 6,225.375, respectively. (a) Find SSE. SSE= 488.75 (b) Compute R2. (Round your answer to three decimal places.) R² = 0.927 (c) Compute R₂². (Round your answer to three decimal places.) R₁₂²= 0.906 (d) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O The estimated regression equation provided a good fit as a small proportion of the variability in y has been explained by the estimated regression equation. O The estimated regression equation did not provide a good fit as a small proportion of the variability in y has been explained by the estimated regression equation. O The estimated regression equation did not provide a good fit as a large proportion of the variability in y has been explained by the estimated regression equation. O The estimated regression equation provided a good fit as a large proportion of the variability in v has been explained by the estimated regression equation.
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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