In: Accounting
Month | Machine Hours (hrs.) | Maintenance Costs ($) |
1 | 1,330 | 102,694 |
2 | 1,400 | 103,694 |
3 | 1,500 | 108,694 |
4 | 1,470 | 108,694 |
5 | 1,620 | 116,694 |
6 | 1,690 | 115,694 |
7 | 1,490 | 107,694 |
8 | 1,310 | 102,694 |
9 | 1,450 | 106,694 |
10 | 1,580 | 113,694 |
11 | 1,300 | 100,694 |
12 | 1,600 | 113,694 |
13 | 1,650 | 114,694 |
14 | 1,440 | 109,694 |
15 | 1,340 | 102,694 |
16 | 1,670 | 114,694 |
17 | 1,480 | 106,694 |
18 | 1,360 | 103,694 |
19 | 1,340 | 103,694 |
20 | 1,540 |
112,694 |
Assume that the following relationship holds:
Maintenance Costs = (v * Machine Hours) + f
REQUIRED
Estimate the values of v and f and the cost equation, using,
1.the High-Low Method, and
2. the Linear Regression method.
Note, to use the linear regression method, you MUST use the Microsoft Excel program.
Make sure to report:
1. the values of v and f;
2. a scatter plot of the data points, and
3. the adjusted R-square; explain what the adjusted R-square means.
4. The cost equation in the form of Y = vx + f, substituting the values for v and f from the regression output.
***YOUR SUBMISSION MUST BE IN EXCEL. ***
***PLEAE INCLUDE AN EXCEL ATTACHMENT SO THAT I MAY OPEN IT UP IN EXCEL.***
***ONE WORKBOOK, WITH A WORKSHEET FOR EACH ANALYSIS***
(i.e., High-Low Method and Regression Analysis respectively). The regression analysis must include the output from the Analysis Datapak similar to Exhibit 6-15 on page 328.