(A) High-Low Method
High-Low method is among the several techniques used to divide a mixed cost or total cost into fixed and variable cost. It is one of the easiest method to understand.
Formula:-
Variable Cost Per Unit:-Highest Activity Cost-Lowest Activity Cost/Highest Activity Units-Lowest Activity Units
Once variable cost per unit is found, we can calculate the fixed cost by subtracting the total variable cost at a specific activity level from the total cost at that activity level.
Fixed Cost= Lowest Activity Cost - (Variable Cost Per Units x Lowest Activity Units) =
Or
Fixed Cost= Highest Activity Cost - (Variable Cost Per Units x Highest Activity Units) =
Step 1: Identify the highest and lowest activity activities
Highest activity level is 1000 units in April
Lowest activity level is 500 units in January
Step 2: Calculate variable cost per unit
Difference between highest and lowest activity units and their corresponding costs are used to calculate the variable cost per unit using the formula given above.
Variable cost per unit= $13,000-$9,500/1000-500= $7 Per Unit
Step 3: Calculate fixed cost
Fixed costs can be found be deducting the total variable cost for a given activity level from the total cost of that activity level.
Fixed Cost= $13,000-($7*1000)= $6000
(C)Least Squares Regression
Least-squares linear regression is a statistical technique that may be used to estimate the total cost at the given level of activity. The use of linear regression (least squares method) is the most accurate method in segregating total costs into fixed and variable components.
Like the other methods of cost segregation, the least squares method follows the same cost function:
y = a + bx
where:
y = total cost;
a = total fixed costs;
b = variable cost per level of activity;
x = level of activity
Variable Cost
= b=
Fixed Cost
Where,
n is number of pairs of units—total-cost used in the
calculation;
Σy is the sum of total costs of all data pairs;
Σx is the sum of units of all data pairs;
Σxy is the sum of the products of cost and units of all
data pairs; and
Σx2 is the sum of squares of units of all data
pairs.
n=6
∑x=4550
∑y=$66,900
∑x2=3,622,500
∑xy=51,980,000
Calculating the average variable cost per unit:
b =
= 7.25
Calculating the approximate total fixed cost:
a =
chairs that are sold by various retailers across the country. The following table details the company's...
11. APPENDIX 3A ESTIMATING VARIABILITY. Peters Pots mak es a large ceramic pot that it sells through a nationwide distribution channel. The following table details the sal and costs for the first seven months of this year. Observation Number of Units (x) Manufacturing Cost) January February March April May June July 1,000 2,500 500 1,000 1,500 1,200 800 8,500 $40,100.00 $100,100.00 $20,100.00 $40,100.00 $60,100.00 $48,100.00 $32,100.00 $340,700.00 Sum REQUIRED: a. Using the high-low method, calculate the variable and fixed costs...