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The following estimated regression equation based on 30 observations was presented. y = 17.6 + 3.8X1 2.3X2 + 7.6X3 + 2.7x4 The values of SST

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The following estimated regression equation based on 30 observations was presented. y = 17.6 + 3.8X1 2.3X2 + 7.6X3 + 2.7x4 The values of SST and SSR are 1,801 and 1,757, respectively. (a) Compute R2. (Round your answer to three decimal places.) R2 _ (b) Compute R.2. (Round your answer to three decimal places.) Ra (c) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) The estimated regression equation provided a good fit as a small proportion of the variability in y has been explained by the estimated regression equation. 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. The estimated regression equation provided a good fit 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 fit as a large proportion of the variability in y has been explained by the estimated regression equation

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