In: Statistics and Probability
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
Compute b1 and b0 (to 1 decimal).
b1 =
b0 =
Complete the estimated regression equation (to 1 decimal).
= + x
According to this model, what is the change in annual sales ($1000s) for every year of experience (to 1 decimal)?
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)?
%
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)?
$
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