"he following estimated regression equation based on 10 observations was presented. )7' = 29.1210 + 0.5106x1 + 0.4680X2 "he values of SST and SSR are 6.729.125 and 6.221.375, respectively. (3} Find SSE. (b) Compute R2. (Round your answer to three decimal places.) (c) Compute R52. (Round your answer to three decimal places.) 2 _ R. 7 E (d) Comment on the goodness of t. (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 1/ has been explained by the estimated regression equation. 0 The estimated regression equation provided a good t as a large proportion of the variability in y has been explained by the estimated regression equation. 0 The estimated regression equation provided a good t as a small proportion of the variability in y has been explained by the estimated regression equation. 0 The estimated regression equation did not provide a good t as a small proportion of the variability in y has been explained by the estimated regression equation