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 - 83 + 4x. Years of Experience Annual Sales Salesperson ($1,000s) 80 2 97 3 4 102 4 4 107 6. 103 6. 8 116 7. 10 119 8. 10 123 9 11 127 10 13 136 a) Compute the residuals. Years of Annual Sales Experience ($1,000s) Residuals 1. 80 87 97 95 4 102 99 4. 107 99 6 103 107 8 116 115 10 119 123 10 123 123 11 127 127 13 136 135 Construct a residual plot. 16 T 16 12 12 8 4 4 -4 .. -4 -8- -8 -12 -12 -16 -16 4 6 8 10 12 14 0 2 4 6 8 10 12 Residuals Residuals
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 - 83 + 4x. Years of Experience Annual Sales Salesperson ($1,000s) 80 2 97 3 4 102 4 4 107 6. 103 6. 8 116 7. 10 119 8. 10 123 9 11 127 10 13 136 a) Compute the residuals. Years of Annual Sales Experience ($1,000s) Residuals 1. 80 87 97 95 4 102 99 4. 107 99 6 103 107 8 116 115 10 119 123 10 123 123 11 127 127 13 136 135 Construct a residual plot. 16 T 16 12 12 8 4 4 -4 .. -4 -8- -8 -12 -12 -16 -16 4 6 8 10 12 14 0 2 4 6 8 10 12 Residuals Residuals
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
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