COST BEHAVIOR: ANALYSIS AND USE

I. Variations of Cost Behavior Patterns

A. Variable costs can be broken down into those that are:

1. Engineered--are those costs observed when an optimum relationship exists between inputs (costs) and outputs (activity). This relationship has been carefully determined by using work measurement techniques. Examples include wages/time, material/usage.

2. Discretionary--are those costs which fluctuate with activity simply because management has made a decision which in effect permits them to vary. For example: percentage of each sales dollar spent for advertising, units of performance method of depreciation.


B. Fixed costs can be subdivided as:

1. Discretionary--costs arising where management policies are established concerning maximum amounts to be incurred and which have no observable optimum relationship. Examples include: advertising, research and development and company picnic expenditures.

2. Committed--costs arising from the use of plant, equipment and maintaining an organization. Examples include rent, property taxes, straight-line depreciation and salaries of key executives.


There are several methods that can be used to simplify a cost function (behavior pattern):

1. experience, intuition, account analysis.
2. high-low method.
3. scattergraph.
4. engineering method.
5. simple and multiple regression.


Example: A firm observed the following energy costs at various levels of activity over the past 15 months.

Month

Units produced

Energy cost ($)

1

4,500

38,000

2

11,000

52,000

3

12,000

56,000

4

5,500

40,000

5

9,000

47,000

6

10,500

52,000

7

7,500

44,000

8

5,000

41,000

9

11,500

52,000

10

6,000

43,000

11

8,500

48,000

12

10,000

50,000

13

6,500

44,000

14

9,500

48,000

15

8,000

46,000


What is the approximate monthly fixed cost?
What is approximate variable cost per unit?



HIGH-LOW METHOD

VC rate = change in cost / change in activity

VC rate = $18,000 / 7,500

VC rate = $2.40/unit

FC = Total cost - variable cost

FC = $56,000 - (12,000 * $2.40)

FC = $27,200

or

FC = $38,000 - (4,500 * $2.40)

FC = $27,200

TC = VC + FC

High activity: $56,000 = (12,000 * $2.40) + 27,200

Low activity: $38,000 = (4,500 * $2.40) + 27,200


Cost formula: TC = $2.40X + $27,200/month


SCATTERGRAPH

Draw a regression line from the points plotted on the graph—using an observed activity and corresponding cost--10,000 units with a total cost of $50,000.











TC = FC + VC

$50,000 = $30,000 + VC

VC = TC - FC

VC = $50,000 - $30,000

VC = $20,000

VC rate = VC/observed activity

VC rate = $20,000 / 10,000 units

VC rate = $2.00 /unit

Estimated cost at 11,000 units

TC = FC + VC

TC = $30,000 + (11,000 * $2.00)

TC = $30,000 + $22,000

TC = $52,000

Cost formula: TC = $2.00/unit + $30,000/month


LINEAR REGRESSION ANALYSIS

This technique overcomes the subjectivity inherent in the scattergraph by calculating a precise placement for the estimated total cost line; by using a number of past values, it also addresses the 'two-value' weakness of high-low analysis. Regression analysis operates by obtaining the values for fixed cost and variable cost per unit in a math­ematical formula for total cost:

y=a+bx

where

y represents total cost


a is the fixed element of total cost


b is the variable cost per unit


X is the volume of activity.

You should note that `y = a + bx' is the standard mathematical equation for a straight line, with a representing the vertical intercept and b the slope of the line. Based on a number of past total costs (y) and their related volume levels (x), values for the variable cost per unit (b) and fixed cost (a) can be calculated using the following formulae:

b=

nΣxy-ΣxΣy

and

a=

Σy

-

bΣx

nΣx²-(Σx)²

n

n

n representing the number of past observations being used and I being the mathemat­ical symbol for `sum of'. For convenience, Exhibit 3.3 presents again the previous six years' total production overhead and associated output volumes for KTI Ltd.

KTI Ltd: Production Overhead

KTI Ltd, which produces and sells cheese, has recorded the following production overhead costs and associated volumes of output over the last six years:







Year

Production overhead (£)

Volume of output (kg)



19X1

820 000

360 000



19X2

1 040 000

510 000



.19X3

720 000

310 000



19X4

920 000

390 000



19X5

1 060 000

470 000



19X6

1 220 000

560 000


In 19X7, it is anticipated that output will be 500 000 kg. It is known that some of the pro­duction overhead costs vary according to the number of kilograms produced, while some (like depreciation of production equipment) are incurred at a fixed amount per annum.


Exhibit 3.3 KTI Ltd production overhead

There are six past costs and volume levels, so here, n= 6. Although the formulae above appear very daunting, a simple tabulation will provide us with the other values we need to enable us to obtain values for a (fixed cost) and b (variable cost per kg). For ease of calculation, all the values for x (output) and y (total production overhead) in the table which follows have been stated in thousands (kg and £).

n


X


y


xy


X2

1


360


820


295,200


129,600

2


510


1,040


530,400


260,100

3


310


720


223,200


96,100

4


390


920


358,800


152,100

5


470


1,060


498,200


220,900

6


560


1,220


683,200


313,600


Σ

2,600


5,780


2,589,000


1,172,400

Inserting the appropriate values into the formula for b gives:

b

=

nΣxy-ΣxEy

nΣx²-(Σx)²


=

6(2589000)-(2600x5780)

6(1172400)-(2600) ²


=

15,534,000 – 15,028,000

7,034,400 – 6,760,000


=

506 000

1.84 (rounded)

274 400

In other words, our estimate of the variable overhead per kg is £1.84. This value can now be used to obtain a value for a (the fixed cost):

a

=

Σy

-

bΣx

N

n


=

5780

-

(1.84 x2,600)

6

6


=

963.33

-

797.33


=

166.00

Bearing in mind that the figures for x and y are stated in thousands, our estimate of the fixed production overhead is £166 000. Estimated total production overhead for 19X7 will be:


£

Fixed element

166 000

Variable element (500 000 kg @£1.84)

920 000

Total cost

1 086 000





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