Question

In: Statistics and Probability

Salesperson Years of Experience Annual Sales ($1000s) 1 3 79 2 4 92 3 4 91...

Salesperson Years of Experience Annual Sales ($1000s)
1 3 79
2 4 92
3 4 91
4 4 106
5 7 102
6 9 112
7 10 120
8 11 117
9 11 114
10 13 135

A sales manager collected data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. In the Microsoft Excel Online file below you will find a sample of data on years of experience of the salesperson and annual sales. Conduct a regression analysis to explore the relationship between these two variables and then answer the following questions.

Open spreadsheet

  1. Compute b1 and b0 (to 1 decimal).

    b1 =

    b0 =

    Complete the estimated regression equation (to 1 decimal).

    =  + x

  2. According to this model, what is the change in annual sales ($1000s) for every year of experience (to 1 decimal)?

  3. Compute the coefficient of determination (to 3 decimals). Note: report r2 between 0 and 1.

    r2 =

    What percentage of the variation in annual sales ($1000s) can be explained by the years of experience of the salesperson (to 1 decimal)?

    %

  4. A new salesperson joins the team with 8 years of experience. What is the estimated annual sales ($1000s) for the new salesperson (to the nearest whole number)?

    $

Solutions

Expert Solution

The statistical software output for this problem is:

Hence,

a) b1 = 4.1

b0 = 75.6

Regression equation:

y = 75.6 + 4.1 x

b) Change in annual sales = 4.1

c) r2 = 0.839

Percent of variation explained = 83.9 %

d) Predicted sales = $ 108


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