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Data for two variables, x and y, follow. X; 22 24 26 28 40 8 17 2 31 66 (a) Develop the estimated regression equation

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Data for two variables, x and y, follow. X; 22 24 26 28 40 8 17 2 31 66 (a) Develop the estimated regression equation for these data. (Round your numerical values to two decimal places.) y = (b) Compute the studentized deleted residuals for these data. (Round your answers to two decimal places.) Studentized Xi yi Deleted Residual 22 18 100 24 17 26 27 28 31 40 66 At the 0.05 level of significance, can any of these observations be classified as an outlier? Explain. (Select all that apply.) Observation x, = 22 can be classified as an outlier since it has a large studentized deleted residual (greater than to.025 or less than -to.025) O Observation x; = 24 can be classified as an outlier since it has a large studentized deleted residual (greater than to.025 or less than -to.025). Observation x, = 26 can be classified as an outlier since it has a large studentized deleted residual (greater than to.025 or less than -to.025) Observation x; = 28 can be classified as an outlier since it has a large studentized deleted residual (greater than to.025 or less than -to.025). Observation x, = 40 can be classified as an outlier since it has a large studentized deleted residual (greater than to.025 or less than -to.025). None of the observations can be classified as outliers since they do not have large studentized deleted residuals greater than to.025 or less than -to.025) (c) Compute the leverage values for these data. (Round your answers to two decimal places.) Leverage Xi y Value 22 24 1/ 26 27 28 31 40 66 Do there appear to be any influential observations in these data? Explain. Because the leverage value for ---Select--- is greater than , we conclude that there ---Select--- (d) Compute Cook's distance measure for these data. (Round your answers to two decimal places.) Cook's X : yi Distance 22 24 17 26 27 28 31 40 66 Are any observations influential? Explain. (Select all that apply.) O Observation x, = 22 is an influential observation since it has a large Cook's distance measure (greater than 1). Observation x; = 24 is an influential observation since it has a large Cook's distance measure (greater than 1). Observation x; = 26 is an influential observation since it has a large Cook's distance measure (greater than 1). O Observation x, = 28 is an influential observation since it has a large Cook's distance measure (greater than 1). O Observation x, = 40 is an influential observation since it has a large Cook's distance measure (greater than 1). O None of the observations are influential since they do not have large Cook's distance measures (greater than 1)

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