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The following estimated regression equation based on 10 observations was presented. 7 = 29.1290 + 0.5206x1 + 0.4780x2 The values of SST and SSR are

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The following estimated regression equation based on 10 observations was presented. 7 = 29.1290 + 0.5206x1 + 0.4780x2 The values of SST and SSR are 6,725.125 and 6,225.375, respectively. (a) Find SSE. SSE = (b) Compute R2. (Round your answer to three decimal places.) R2: (c) Compute Raz. (Round your answer to three decimal places.) 2_ Ra (d) 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 did not provide a good t as a small proportion of the variability in y has been explained by the estimated regression equation. ' 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. 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 equation

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