q10 The following estimated regression equation based on 10 observations was presented.ŷ = 29.1260 + 0.5106x, + 0.4680x2The values of SST and SSR are 6,715.125 and 6,229.375, respectively.(a) Find SSE.SSE =(b) Compute R?. (Round your answer to three decimal places.)R2 =(c) Compute R_2. (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 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 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.

Name: q10 The following estimated regression equation based on 10 observatio
Uploaded: 2024-03-20T06:47:08.000Z
Channel: Bartleby
Description: q10 The following estimated regression equation based on 10 observations was presented.ŷ = 29.1260 + 0.5106x, + 0.4680x2The values of SST and SSR are 6,715.125 and 6,229.375, respectively.(a) Find SSE.SSE =(b) Compute R?. (Round your answer to three