ý = 29.1240 + 0.5906x, + 0.4580x2 The values of SST and SSR are 6,721.125 and 6,215.375, respectively. (a) Find SSE. SSE =
ý = 29.1240 + 0.5906x, + 0.4580x2 The values of SST and SSR are 6,721.125 and 6,215.375, respectively. (a) Find SSE. SSE =
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Question
![The following estimated regression equation based on 10 observations was presented.
= 29.1240 + 0.5906x, + 0.4580x2
The values of SST and SSR are 6,721.125 and 6,215.375, 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.)
R.
%3D
(d) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)
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.
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.
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.
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4a152026-4f18-428e-ba0f-fa5e238be3fd%2Fd0b545de-0c5b-46e0-b364-0088bc48137f%2Fb3vt26_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following estimated regression equation based on 10 observations was presented.
= 29.1240 + 0.5906x, + 0.4580x2
The values of SST and SSR are 6,721.125 and 6,215.375, 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.)
R.
%3D
(d) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)
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.
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.
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.
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
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