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business stats The following estimated regression equation based on 30 observations was presented. 9 = 17.6 + 3.8%, -2.3x, + 7.6x3 + 2.7X4 The values

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The following estimated regression equation based on 30 observations was presented. 9 = 17.6 + 3.8%, -2.3x, + 7.6x3 + 2.7X4 The values of SST and SSR are 1,807 and 1,754, respectively, (a) Compute R? (Round your answer to three decimal places.) R (b) Compute R 2 (Round your answer to three decimal places.) R? equation (c) Comment on the goodness of fit. (For purposes of this exercise, consider a proportion targe 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 The estimated regression equation provided a good fit as a large proportion of the variability in y has been explained by the estimated regression 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 did not provide a good fit as a large proportion of the variability in y has been explained by the estimated regression equation. equation

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