5. [-/2.77 Points] DETAILS ASWSBE14 14.E.048.MI. A statistical program is recommended. A sales manager collected the fol

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5 2 77 Points Details Aswsbe14 14 E 048 Mi A Statistical Program Is Recommended A Sales Manager Collected The Fol 1 (53.7 KiB) Viewed 31 times

5. [-/2.77 Points] DETAILS ASWSBE14 14.E.048.MI. A statistical program is recommended. A sales manager collected the following data on x - years of experience and y - annual sales ($1,000s). The estimated regression equation for these data is ý - 91 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 1 80 2 3 97 3 4 97 4 107 5 6 103 6 8 101 7 10 119 8 10 123 9 11 127 10 13 136 (a) Compute the residuals. Years of Experience Annual Sales ($1,000s) Residuals 1 3 97 4 97 107 6 103 8 101 10 119 10 123 11 127 13 136 16 12+ 8 16 12- 8 16 12 8 . Construct a residual plot. 16 12 8 . . 0 -4 - Residuals 0 :. 0 . -4 . . 0 -4- -&- -12 -10 0 . - 12 -16 0 - 12 -16 0 -- - 12 -16 0 2 4 8 10 12 14 2 4 8 10 12 14 2 4 10 12 14 2 4. 10 12 14 Years of Experience Years of experience Years of Experience Years of experience 0 o (b) Do the assumption about the error terms seem reasonable in light of the residual plat? The plot suggests a funnel pattern in the residuals indicating that the error term assumptions appear reasonable. The plot suggests a generally horizontal band of residual points indicating that the error term assumptions do not appear reasonable. The plot suggests curvature in the residuals indicating that the error term assumptions appear reasonable. The plot suggests a generally horizontal band of residual points indicating that the error term assumptions appear ressonable. The plot suggests a funnel pattern in the residuals indicating that the error term assumptions do not appear reasonable.