13 136 Construct a residual plot. 16 16 16 16 12 12 12- 12 8. 8 8- 8 4 4 4 4 -4 -4 -4 -4 -8- -8- -12- -8 -8 -12 -12 -12 -16 -16 -16 -16 o 2 4 6 8 10 0 2 4 6 8 10 0 2 0 2 12 14 12 14 4 6 8 10 12 14 4 6...

Extracted text: 13 136 Construct a residual plot. 16 16 16 16 12 12 12- 12 8. 8 8- 8 4 4 4 4 -4 -4 -4 -4 -8- -8- -12- -8 -8 -12 -12 -12 -16 -16 -16 -16 o 2 4 6 8 10 0 2 4 6 8 10 0 2 0 2 12 14 12 14 4 6 8 10 12 14 4 6 8 10 12 14 Years of Experience Years of Experience Years of Experience Years of Experience (b) Do the assumptions about the error terms seem reasonable in light of the residual plot? O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions do not appear reasonable. O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions do not appear reasonable. O The plot suggests curvature in the residuals indicating that the error term assumptions appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions appear reasonable.


Extracted text: 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 = 81 + 4x. Years of Annual Sales ($1,000s) Salesperson Experience 1 80 2 3 97 3 4 97 4 102 6 103 8 111 7 10 119 8 10 128 11 117 10 13 136 (a) Compute the residuals. Annual Sales ($1,000s) Years of Residuals Experience 80 3 97 4 97 4 102 6 103 8 111 10 119 10 128 11 117 13 136 Construct a residual plot.