36. -/4 Points] DETAILS The following estimated regression equation based on 10 observations was presented. 9-29.1290 +0.5906, +0.4980x2 The values of SST and SSR are 6,725.125 and 6,228.375, respectively. (a) Find SSE. SSE-> (b) Compute R. (Round your answer to three decimal places.) MY NOTES ASK YOUR TEACHER (c) Compute R. (Round your answer to three decimal places.) R2-1 (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 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 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. 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.