Least-squares regression method


Problem:

The Hard Rock Mining Company is developing cost formulas for management planning and decision making purposes. The company’s cost analyst has concluded that utilities cost is a mixed cost, and he is attempting to find a base with which the cost might be closely correlated. The controller has suggested that tons mined might be a good base to use in developing a cost formula. The production superintendent disagrees; she thinks that direct labor hours would be a better base. The cost analyst has decided to try both bases and has assembled the following information:

 

 

 

Direct

 

 

 

Tons Mined

Labor_Hours

Utilities

Quarter 

 

(000)

(000)

Cost

 

 

 

 

 

Year 1

 

 

 

 

First

.............

15

5

 $  50,000.00

Second

.............

11

3

 $  45,000.00

Third

.............

21

4

 $  60,000.00

Fourth

.............

12

6

 $  75,000.00

Year 2

 

 

 

 

First

.............

18

10

 $100,000.00

Second

.............

25

9

 $105,000.00

Third

.............

30

8

 $  85,000.00

Fourth

.............

28

11

 $120,000.00


Required to answer:

1. Using tons mined as the independent (X) variable:

a. Determine a cost formula for utilities cost using the least-squares regression method. (The variable cost you compute will be in thousands of tons. It can be left in this form, or you can convert your variable cost to a per ton basis by dividing it by 1,000)

B. Prepare a scatter graph and plot the tons mined and utilities cost. (Place cost on the vertical axis and tons mined on the horizontal axis.) Fit a straight line to the plotted points using the cost formula determined in (a) above.

2. Using direct labor-hours as the independent (x) variable, repeat the computations in (a) and (b) above.

3. Would you recommend that the company uses tons mined or direct labor- hours as a base for planning utilities cost?

Check Figure

(1) Y=$28,352+$2,582X

Solution Preview :

Prepared by a verified Expert
Other Management: Least-squares regression method
Reference No:- TGS01767063

Now Priced at $25 (50% Discount)

Recommended (91%)

Rated (4.3/5)