Compute the estimated regression equation that relates years of experience to annual sales.

MATLAB: An Introduction with Applications
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**Problem #1b:**

Compute the estimated regression equation that relates years of experience to annual sales.
Transcribed Image Text:**Problem #1b:** Compute the estimated regression equation that relates years of experience to annual sales.
A sales manager collected the following data on annual sales and years of experience.

| **Salesperson** | **Years of Experience** | **Annual Sales ($1000s)** |
|-----------------|-------------------------|---------------------------|
| 1               | 1                       | 80                        |
| 2               | 4                       | 102                       |
| 3               | 6                       | 103                       |
| 4               | 10                      | 119                       |
| 5               | 13                      | 136                       |

This table presents data correlated to the years a salesperson has worked and their respective annual sales in thousands of dollars. Each row represents a different salesperson, ordered by increasing years of experience. Generally, there is a trend showing that as years of experience increase, annual sales also tend to increase.
Transcribed Image Text:A sales manager collected the following data on annual sales and years of experience. | **Salesperson** | **Years of Experience** | **Annual Sales ($1000s)** | |-----------------|-------------------------|---------------------------| | 1 | 1 | 80 | | 2 | 4 | 102 | | 3 | 6 | 103 | | 4 | 10 | 119 | | 5 | 13 | 136 | This table presents data correlated to the years a salesperson has worked and their respective annual sales in thousands of dollars. Each row represents a different salesperson, ordered by increasing years of experience. Generally, there is a trend showing that as years of experience increase, annual sales also tend to increase.
Expert Solution
Step 1

Given data,

X Y X*Y X*X
1 80 80 1
4 102 408 16
6 103 618 36
10 119 1190 100
13 136 1768 169

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