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The McGraw Company Is Accumulating Data to Be Used in Preparing

question 60

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The McGraw Company is accumulating data to be used in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested that linear regression be employed to derive an equation in the form of y = a + bx for maintenance costs. Data regarding the maintenance hours and costs for last year and the results of the regression analysis are as follows: (CMA adapted)  Hours of  Activity  Maintenance  Costs  January 480$4,200 February 3203,000 March 4003,600 April 3002,820 May 5004,350 June 3102,960 July 3203,030 August 5204,470 September 4904,260 October 4704,050 November 3503,300 December 3403,160 Sum 4,800$3,200 Average 4003,600 A coefficient 684.65 B coefficient 7.2884 Standard error of the a coefficient 49.515 Standard error of the b coefficient 0.12126 Standard error of the estimate 34.469R20.99724 T-value a 13.827 T-value b 60.105\begin{array} { l r c } & \begin{array} { c } \text { Hours of } \\\text { Activity }\end{array} & \begin{array} { c } \text { Maintenance } \\\text { Costs }\end{array} \\\text { January } & 480 & \$ 4,200 \\\text { February } & 320 & 3,000 \\ \text { March } & 400 & 3,600 \\\text { April }& 300 & 2,820 \\\text { May } & 500 & 4,350 \\\text { June }& 310 & 2,960 \\\text { July } & 320 & 3,030 \\\text { August } & 520 & 4,470 \\\text { September } & 490 & 4,260 \\\text { October } & 470 & 4,050 \\\text { November } & 350 & 3,300 \\\text { December }& 340 & 3,160 \\ \text { Sum } & 4,800 & \$ 3,200 \\ \text { Average }& 400 & 3,600 \\\text { A coefficient } & & 684.65 \\\text { B coefficient } & & 7.2884 \\\text { Standard error of the a coefficient } & 49.515 & \\\text { Standard error of the b coefficient } & 0.12126 & \\\text { Standard error of the estimate } & & 34.469 \\\mathrm { R } ^ { 2 } & & 0.99724 \\\text { T-value a } & & 13.827 \\\text { T-value b } & & 60.105\end{array}
-Based upon the data derived from the regression analysis, 420 maintenance hours in a month would mean the maintenance costs would be budgeted at: (rounded to the nearest whole dollar)


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