Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Following are the results from two different simple regression analyses estimati

ID: 3042621 • Letter: F

Question

Following are the results from two different simple regression analyses estimating the costs of the marketing department using number of sales persons and number of units sold as cost drivers.

Variable

Coefficient

t-statistic

p-value

Intercept

500.75

4.05

0.03

Number of sales persons

20.50

6.10

0.004

Adjusted R-square = 0.80

Variable

Coefficient

t-statistic

p-value

Intercept

700.23

0.98

0.30

Number of units sold

120.33

3.66

0.05

Adjusted R-square = 0.49

a.   Which independent variable explains more of the variation in marketing department costs?

b.   Choose the most appropriate cost driver and write the cost function.

c.   What are the examples of uncertainties that could affect the accuracy of the cost function in estimating the cost for the next month.

Variable

Coefficient

t-statistic

p-value

Intercept

500.75

4.05

0.03

Number of sales persons

20.50

6.10

0.004

Adjusted R-square = 0.80

Explanation / Answer

a)
Number of sales persons
  
as R^2 = 0.80 > 0.49 (for units sold)
b)
cost function = 500.75 + 20.50 * Number of sales persons