[Fact Pattern #2]
In preparing the annual profit plan for the
coming year, Wilkens Company wants to
determine the cost behavior pattern of the
maintenance costs. Wilkens has decided to use
linear regression by employing the equation y
= a + bx for maintenance costs. The prior
year’s data regarding maintenance hours and
costs and the results of the regression analysis
are as follows.
Average cost per hour $ 9.00
a 684.65
b 7.2884
Standard error of a 49.515
Standard error of b .12126
Standard error of the estimate 34.469
r 2 .99724
Hours of Maintenance
Activity Costs
January 480 $ 4,200
February 320 3,000
March 400 3,600
April 300 2,820
May 500 4,350
June 310 2,960
July 320 3,030
August 520 4,470
September 490 4,260
October 470 4,050
November 350 3,300
December 340 3,160
Sum 4,800 $43,200
Average 400 $ 3,600
[55] Gleim #: 1.2.55 -- Source: CMA 1290 4-29
(Refers to Fact Pattern #2)
Based upon the data derived from the regression analysis, 420 maintenance hours in a month
would mean that Wilkens Co.’s maintenance costs (rounded to the nearest dollar) would be
budgeted at:
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