In: Accounting
Hartman Company's Lucas plant manufactures thermostatic controls. Plant management has experienced fluctuating monthly overhead costs and wants to estimate overhead costs accurately to plan its operations and its financial needs. Interviews with plant personnel and studies reported in trade publications suggest that overhead in this industry tends to vary with labor-hours.
A member of the controller's staff proposed that the behavior pattern of these overhead costs be determined to improve cost estimation. Another staff member suggested that a good starting place for determining cost behavior patterns is to analyze historical data. Following this suggestion, monthly data were gathered on labor-hours and overhead costs for the past two years. No major changes in operations occurred over this period of time. The data are shown in the following table:
Month | Labor-Hours | Overhead Costs | ||||
1 | 251,630 | $ | 2,741,620 | |||
2 | 238,530 | 2,375,430 | ||||
3 | 193,000 | 2,400,350 | ||||
4 | 271,500 | 2,590,850 | ||||
5 | 324,000 | 3,072,020 | ||||
6 | 291,030 | 2,618,370 | ||||
7 | 271,500 | 2,480,440 | ||||
8 | 251,650 | 2,745,760 | ||||
9 | 232,000 | 2,821,550 | ||||
10 | 343,650 | 3,437,910 | ||||
11 | 186,030 | 2,210,540 | ||||
12 | 231,980 | 2,550,880 | ||||
13 | 382,900 | 3,603,920 | ||||
14 | 376,500 | 3,404,990 | ||||
15 | 291,020 | 3,016,700 | ||||
16 | 396,030 | 3,638,540 | ||||
17 | 356,650 | 3,554,100 | ||||
18 | 323,850 | 3,191,820 | ||||
19 | 389,475 | 3,481,920 | ||||
20 | 317,280 | 3,219,720 | ||||
21 | 343,540 | 3,495,630 | ||||
22 | 336,970 | 3,207,460 | ||||
23 | 382,910 | 3,600,830 | ||||
24 | 376,350 | 3,636,850 | ||||
Required:
a. Use the high-low estimation method to estimate the overhead cost behavior (fixed and variable portions components of cost) for the Lucas plant. (Round variable cost per unit to 2 decimal places.)
c. Using Excel, compute regression coefficients to describe the overhead cost equation. (Round your answers to 2 decimal places.)
d. Use the results of your regression analysis to develop an estimate of overhead costs assuming 400,000 labor-hours will be worked next month. (Round Cost per Labor hour to 2 decimal places.)
a) | ||||||||
Variable cost per unit = (Highest Activity Cost - Lowest Activity Cost)/(Highest Activity Units - Lowest Activity Units) | ||||||||
Variable cost per unit = (396,030 - 2210540)/(396030 -186030 DL | $ 6.80 | per DL | ||||||
Fixed cost = Highest Activity Cost - (Variable Cost Per Units x Highest Activity Units) | ||||||||
Fixed cost = 3,638,540 - (6.80 x 396,030 direct labour) | $ 945,536.00 | |||||||
Y = $945,536 + $6.80 x Direct labour hours | ||||||||
b) | ||||||||
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.94254329 | |||||||
R Square | 0.888387854 | |||||||
Adjusted R Square | 0.883314574 | |||||||
Standard Error | 160599.2031 | |||||||
Observations | 24 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 4.5165E+12 | 4.5165E+12 | 175.111163 | 5.9439E-12 | |||
Residual | 22 | 5.6743E+11 | 2.5792E+10 | |||||
Total | 23 | 5.0839E+12 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 935053.6532 | 162837.579 | 5.74224732 | 8.9201E-06 | 597349.183 | 1272758.12 | 597349.183 | 1272758.12 |
X Variable 1 | 6.882756032 | 0.52012228 | 13.2329575 | 5.9439E-12 | 5.80408844 | 7.96142362 | 5.80408844 | 7.96142362 |
Fixed Cost | $ 935,053.65 | |||||||
Variable Cost per unit | $ 6.88 | |||||||
X = $935,053.65 + 6.88 x Direct Labour | ||||||||
d) | ||||||||
X = $935,053.65 + 6.88 x 400,000 DL Hours | $ 3,688,156.07 |