u webassignnei 8. [-l10 Points] ASWSBE1415.E.011. The following estimated regression equation based on 10 observations was presented. 9 = 29.1250 + 0.5506x1 + 0.4480x2 The values of SST and SSR are 6.711.125 and 6.228375, respectively. (a) Flnd SSE. SSE = (b) Compute R2. (Round your answer to three decimal places.) R2: (c) Compute R52. (Round your answer to three decimal places.) Rf = I ((1) Comment on the goodness of t. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) / 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. / The estimated regression equation did not provide a good t as a large proportion of the variability in y has been explained by the estimated regression equanon ' The estimated regression equation provided a good t as a small preportion of the variability in y has been explained by the estimated regression equation. \" 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 9. [/8 Points] ASWSBE14 15.E.015. The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspaper advertising (XI). The eimated regression equation was