Need help solving part B and C The following estimated regression equation based on 10 observations was presented.9 = 29.1240 + 0.5906x, + 0.4580x,The values of SST and SSR are 6,721.125 and 6,215.375, respectively.(a) Find SSE.SSE = 505.75(b) Compute R. (Round your answer to three decimal places.)R2 =(c)) Compute R2. (Round your answer to three decimal places.)alR,2 =(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 regressionequation.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 regressionequation.

Name: Need help solving part B and C The following estimated regression equa
Uploaded: 2024-03-20T07:06:27.000Z
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Description: Need help solving part B and C The following estimated regression equation based on 10 observations was presented.9 = 29.1240 + 0.5906x, + 0.4580x,The values of SST and SSR are 6,721.125 and 6,215.375, respectively.(a) Find SSE.SSE = 505.75(b) Comput

From the provided information, SST = 6721.125 and SSR = 6215.375 b) The required value of R2 can be obtained as:c) The required value of Ra2 can be obtained as: