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The following estimated regression equation based on 10 observations was presented. )7 = 29.1250 + 0.5606X1 + 0.4680x2 The values of SST and SSR are 6,717.125 and 6,218.375, respectively. (a) Find SSE. (b) Compute R2. (Round your answer to three decimal places.) 2 . (:2) Compute Ra . (Round your answer to three decrmal places.) 2 _ Ra l:l (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 small 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 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 fit as a large proportion of the variability in y has been explained by the estimated regression equation