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Fundamentals of Cost Accounting Study Set 3
Exam 5: Cost Estimation
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Question 81
Multiple Choice
A cost driver is defined as: (CMA adapted)
Question 82
Multiple Choice
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow:
Month
Machine Hours
Electricity Costs
January
2
,
500
$
18
,
400
February
2
,
900
21
,
000
March
1
,
900
13
,
500
April
3
,
100
23
,
000
May
3
,
800
28
,
250
June
3
,
300
22
,
000
July
4
,
100
24
,
750
August
3
,
500
22
,
750
September
2
,
000
15
,
500
October
3
,
700
26
,
000
November
4
,
700
31
,
000
December
4
,
200
27
,
750
\begin{array}{lll}\text {Month}&\text {Machine Hours}&\text {Electricity Costs}\\\text { January } & 2,500 & \$ 18,400 \\\text { February } & 2,900 & 21,000 \\\text { March } & 1,900& 13,500 \\\text { April } & 3,100 & 23,000 \\\text { May } & 3,800& 28,250 \\\text { June } & 3,300& 22,000 \\\text { July } & 4,100 & 24,750\\\text { August } & 3,500 & 22,750 \\\text { September } & 2,000 & 15,500 \\\text { October } & 3,700 & 26,000 \\\text { November } & 4,700 & 31,000 \\\text { December } & 4,200 & 27,750\end{array}
Month
January
February
March
April
May
June
July
August
September
October
November
December
Machine Hours
2
,
500
2
,
900
1
,
900
3
,
100
3
,
800
3
,
300
4
,
100
3
,
500
2
,
000
3
,
700
4
,
700
4
,
200
Electricity Costs
$18
,
400
21
,
000
13
,
500
23
,
000
28
,
250
22
,
000
24
,
750
22
,
750
15
,
500
26
,
000
31
,
000
27
,
750
Summary Output
Regression Statistics
Multiple R
0.965
R Squuare
0.932
Adjusted R
2
0.925
Standard Error
1
,
425.18
Observations
12.00
\begin{array}{c} { \text { Summary Output } } \\ { \text { Regression Statistics } } \\\begin{array}{ | l | c | } \hline \text { Multiple R } & 0.965 \\\hline \text { R Squuare } & 0.932 \\\hline \text { Adjusted R } ^2 & 0.925 \\\hline \text { Standard Error } & 1,425.18 \\\hline \text { Observations } & 12.00 \\\hline\end{array}\end{array}
Summary Output
Regression Statistics
Multiple R
R Squuare
Adjusted R
2
Standard Error
Observations
0.965
0.932
0.925
1
,
425.18
12.00
Standard
Lower
Upper
Coefficients
Error
t Stat
P-value
95
%
95
%
Intercept
3
,
726.88
1
,
682.82
2.21
0.05
(
22.69
)
7
,
476.45
Machine
5.77
0.49
11.7
0.00
4.67
6.87
Hours
\begin{array}{|l|r|r|r|r|r|r|}\hline && \text { Standard } & && \text { Lower } & \text { Upper } \\&\text { Coefficients } & \text { Error } & \text { t Stat } & \text { P-value } & 95 \% & 95 \% \\ \hline \text { Intercept } & 3,726.88 & 1,682.82 & 2.21 & 0.05 & (22.69) & 7,476.45 \\\hline \text { Machine } & 5.77 & 0.49 & 11.7 & 0.00 & 4.67 & 6.87 \\\text { Hours } & & & & & \\\hline\end{array}
Intercept
Machine
Hours
Coefficients
3
,
726.88
5.77
Standard
Error
1
,
682.82
0.49
t Stat
2.21
11.7
P-value
0.05
0.00
Lower
95%
(
22.69
)
4.67
Upper
95%
7
,
476.45
6.87
- If the controller uses the high-low method to estimate costs, the cost equation for electricity costs is:
Question 83
Multiple Choice
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
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
$
3
,
200
Average
400
3
,
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
34.469
R
2
0.99724
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}
January
February
March
April
May
June
July
August
September
October
November
December
Sum
Average
A coefficient
B coefficient
Standard error of the a coefficient
Standard error of the b coefficient
Standard error of the estimate
R
2
T-value a
T-value b
Hours of
Activity
480
320
400
300
500
310
320
520
490
470
350
340
4
,
800
400
49.515
0.12126
Maintenance
Costs
$4
,
200
3
,
000
3
,
600
2
,
820
4
,
350
2
,
960
3
,
030
4
,
470
4
,
260
4
,
050
3
,
300
3
,
160
$3
,
200
3
,
600
684.65
7.2884
34.469
0.99724
13.827
60.105
-Using the high-low method to estimate cost behavior, 420 maintenance hours in a month would mean the maintenance costs would be budgeted at:
Question 84
True/False
One disadvantage of the high-low method is the highest and lowest points may not be representative of normal operating activities.
Question 85
Multiple Choice
A manager is trying to estimate the manufacturing costs of a new product. The company makes several other products that utilize some of the same manufacturing procedures as the new product. Which cost estimation method would be the best method to determine the total cost of manufacturing the new product?
Question 86
Essay
Your manager asks you for a cost estimate to open a new retail outlet and says, "I want you to use statistical analysis, so it will be objective because it is based on real data." How would you respond?
Question 87
True/False
Cost estimates using regression analysis are always more accurate and dependable than cost estimates using the scattergraph methods.
Question 88
Essay
Fast-food restaurants, like Taco Bell and McDonalds, are known for high employee turnover, high quality, and low costs. Using your knowledge of the learning phenomenon, how do these fast-food chains get high quality and low costs when they have so much employee turnover?
Question 89
Multiple Choice
In determining cost behavior in business, the cost function is often expressed as Y = a + bX. Which one of the following cost estimation methods should not be used in estimating fixed and variable costs for the equation? (CMA adapted)