The following estimated regression equation based on 10 observations was presented. ŷ 29.1210+ 0.5906x₁ +0.4480x2 The values of SST and SSR are 6,717.125 and 6,213.375, respectively. (a) Find SSE. SSE= (b) Compute R2. (Round your answer to three decimal places.) R² = (c) Compute R. (Round your answer to three decimal places.) 2 Ra

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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The following estimated regression equation based on 10 observations was presented.
ý = 29.1210 + 0.5906X1 + 0.4480X,
The values of SST and SSR are 6,717.125 and 6,213.375, respectively.
(a) Find SSE.
SSE =
(b) Compute R². (Round your answer to three decimal places.)
R² =
(c) Compute R₂². (Round your answer to three decimal places.)
(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 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 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 provided 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 small proportion of the variability in y has been explained by the estimated regression equation.
Transcribed Image Text:The following estimated regression equation based on 10 observations was presented. ý = 29.1210 + 0.5906X1 + 0.4480X, The values of SST and SSR are 6,717.125 and 6,213.375, respectively. (a) Find SSE. SSE = (b) Compute R². (Round your answer to three decimal places.) R² = (c) Compute R₂². (Round your answer to three decimal places.) (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 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 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 provided 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 small proportion of the variability in y has been explained by the estimated regression equation.
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