Question
You have recently been hired as a cost accountant at Travenol Laboratories. The controller is an old school accountant and has heard that you recently
You have recently been hired as a cost accountant at Travenol Laboratories. The controller is an "old school" accountant and has heard that you recently graduated with a degree in accounting. One day he summons you to his office to assign you a task. He says, "I understand that recently educated accountants are using a variety of statistical tools to determine causality between costs and their respective drivers. We have been using direct labor hours as our cost driver for our manufacturing overhead costs for as long as I have been here. In the last few years our production processes have become more automated and I am not sure whether direct labor hours is the appropriate allocation basis for our manufacturing overhead costs. I would like you to use some of those statistical tools to determine whether there is a more appropriate cost driver."
You leave his office recognizing that this is a tremendous career opportunity. If you can convince your boss that you can use statistical analysis to determine the best cost driver, you will have established yourself in the department as a knowledgeable professional. It is good fortune that one of your projects in your cost class dealt specifically with this type of analysis.
Year | MOH | DLH | DLS | MH | DMS | ||
2000 | 948,768 | 7,595 | 113,932 | 19,650 | 149,712 | ||
2001 | 833,153 | 14,235 | 173,518 | 12,767 | 111,754 | ||
2002 | 753,039 | 14,997 | 184,961 | 12,002 | 126,155 | ||
2003 | 799,757 | 12,901 | 153,511 | 15,420 | 140,550 | ||
2004 | 972,624 | 8,555 | 168,322 | 11,107 | 167,648 | ||
2005 | 967,537 | 10,565 | 198,476 | 13,759 | 143,981 | ||
2006 | 945,057 | 12,878 | 153,169 | 19,230 | 110,323 | ||
2007 | 750,112 | 8,888 | 93,322 | 12,319 | 115,301 | ||
2008 | 884,112 | 11,287 | 169,311 | 13,489 | 158,897 | ||
2009 | 923,244 | 10,127 | 111,900 | 14,603 | 167,418 | ||
2010 | 929,320 | 11,690 | 215,349 | 12,126 | 120,126 | ||
2011 | 785,210 | 7,707 | 75,606 | 11,334 | 121,555 | ||
2012 | 862,449 | 12,182 | 142,734 | 17,987 | 101,168 | ||
2013 | 865,873 | 5,095 | 36,429 | 18,015 | 156,535 | ||
2014 | 804,287 | 11,464 | 211,962 | 15,504 | 152,855 | ||
2015 | 797,726 | 9,989 | 149,840 | 12,472 | 148,269 | ||
MOH=Manufacturing Overhead | MH=Machine Hours | ||||||
DLH=Direct Labor Hours | DM$=Direct Material Dollars | ||||||
DL$=Direct Labor Dollars |
Requirement:
1. Perform a regression on DLH, DL$, MH and DM$ and comment on the following for each; | |||||||
a. The equation | |||||||
b. Goodness of fit | |||||||
c. Significance of independent variables | |||||||
d. Any autocorrelation | |||||||
2. What would you recommend and why? |
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