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Data for two variables, a: and 3;, follow. a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative

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Data for two variables, a: and 3;, follow. a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. 3) = 0 + 0 a: b. Compute the standardized residuals for these data (to Z decimals). Do not round your intermediate calculations. Enter negative value as negative number. Standardized :ci 9:? Residual 22 12 0 24 21 0 25 31 0 28 35 0 41 7f] 0 Can any of these observations be classified as an outlier? Explain. Because 9 of the standardized residuals are less than -2 or greater than 2, g of the observations can be classified as an outlier

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