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.