Construct a residual plot. 16 16T 16 16 12 12 12- 12 8. 4+ 8- 8. 8. 4- 4- 4- 0- -4 .. -4 -4 -4- -8 -8 -8 -8- -12- -12- -12- -12 -16 -16 -16 -16 8 10 6 8 10 6 8 10 2 4 6 8 10 12 14 2 4 6 12 14 2 4 12...

Extracted text: Construct a residual plot. 16 16T 16 16 12 12 12- 12 8. 4+ 8- 8. 8. 4- 4- 4- 0- -4 .. -4 -4 -4- -8 -8 -8 -8- -12- -12- -12- -12 -16 -16 -16 -16 8 10 6 8 10 6 8 10 2 4 6 8 10 12 14 2 4 6 12 14 2 4 12 14 2 4 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 generally horizontal band of residual points 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 appear reasonable. O The plot suggests curvature in the residuals indicating that the error term assumptions appear reasonable. Residuals Residuals Residuals


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 = 82 + 4x. Years of Annual Sales Salesperson Experience ($1,000s) 1 80 2 97 3 4 97 4 4 107 5 6 103 6 8 116 7 10 119 8 10 118 9 11 127 10 13 136 (a) Compute the residuals. Years of Experience Annual Sales ($1,000s) Residuals 1 80 3 97 4 97 4 107 6 103 8 116 10 119 10 118 11 127 13 136 Construct a residual plot.