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he following estimated regression equation based on 10 observations was presented. F = 29.1270 + 0.5206X1 + 0.4880x2 he values of SST and SSR are
"he following estimated regression equation based on 10 observations was presented. F = 29.1270 + 0.5206X1 + 0.4880x2 "he values of SST and SSR are 6,729.125 and 6.229.375, respectively. (a) Find SSE. (b) Compute R2. (Round your answer to three decimal places.) (c) Compute R52. {Round your answer to three decimal places.) 2 _ R. 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 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 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 did not provide 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 large proportion of the variability in y has been explained by the estimated regression equation
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