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Regression Analysis You have recently been hired as a cost accountant at Travenol Laboratories. The controller...

Regression Analysis
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 DL$ MH DM$
2000 800,748 8,988 174,816 11,580 150,457
2001 964,305 7,053 105,789 14,274 124,180
2002 959,859 14,329 214,929 12,395 138,785
2003 841,455 9,749 146,230 14,121 143,074
2004 848,457 14,959 224,381 19,522 166,752
2005 934,087 12,971 234,558 13,996 129,963
2006 938,737 10,180 112,704 10,029 127,207
2007 801,328 13,488 202,319 15,120 126,507
2008 968,839 8,298 84,470 15,842 144,981
2009 865,098 10,562 158,428 11,552 163,323
2010 760,935 12,771 191,558 17,836 129,906
2011 817,208 8,694 170,409 13,964 119,208
2012 778,955 9,549 183,236 17,727 108,481
2013 976,866 7,575 73,631 17,699 131,462
2014 768,552 12,156 182,339 16,711 133,599
2015 934,020 5,221 38,314 11,585 117,617
MOH=Manufacturing Overhead MH=Machine Hours
DLH=Direct Labor Hours DM$=Direct Material Dollars
DL$=Direct Labor Dollars
Required:
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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Answer #1

ANSWER:-

ALL PAGES ARE ONE TABLE DON'T CONFUSED

MOH 948,768 7,595 833,153 753,039 799,757 972,624 8,555 967,537 10,565 945,057 750,112 884,112 923,244 929,3201 785.2107,707 862,44912,182 865,873 804,287 797,726 DLS 113,93219,650 149,712 173,51812,767 111,754 184,96 12,002 126.155 53,51115,420 140,550 168,322 11,107167,648 198,476 13,759 143,981 153,16919,230 110,323 93,32212,319 115,301 169,313,489 158,897 111,900 14,603 167.418 215,34912,126 120,126 75,60611,334 121,555 142,734 17,987 101,168 36,429 18,015 156,535 211,962 15,504 152,855 149,84012,472 148,269 DMS Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 DLH MH 14,235 14,997 12,901 12,878 8,888 11,287 10,127 11,690 5,095 11,464 9,989 MOH-Manufacturing Overhead DLIH-Direct Labor Hours DL$-Direct Labor Dollars MH-Machine Hours DMS-Direct Material Dollars

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