In: Accounting
Beetroots (Pty) Ltd is a company that buys fresh veggies in bulk and sell it direct to the public after packaging it in smaller quantities.
The following cost data is available for six months:
Month | Kg Veggies | Total cost |
January | 200 kg | $3 800 |
February | 500 kg | $8 600 |
March | 900 kg | $14 300 |
April | 350 kg | $5 950 |
May | 780 kg | $12 800 |
June | 800 kg | $13 200 |
The financial manager is of the opinion that the total cost for the month is related t the quantity of veggies that is packaged (measured in kilograms).
Required:
1.1 Compile a cost formula (cost function) by making use of the High-Low method.
1.2 Compile a cost formula (cost function) by making use of the Least-Square method (Simple Regression Analysis). SHOW ALL CALCULATIONS
1.3 Explain why there is a difference between the cost formula according to the High-Low method and the cost formula according to the Least-Square method, and advise the best method to use.
1.4 Calculate the budgeted cost for July and August according to both cost formulas if the expected quantity of veggies that will be packaged is 950kg and 1 020kg respectively.
Answer 1.1:
As per high low method
Variable Cost per unit = (Highest Activity cost – Lowest activity cost)/ (Highest activity units- Lowest activity units)
So Variable cost per unit = ($ 14,300 - $ 3,800)/ (900 kg – 200 kg) = $ 10,500 / 700 kg = 15 per kg
And fixed cost = total cost at a fixed activity – variable cost at a fixed activity
So fixed cost = $ 14,300 – ($ 15 per kg * 900 kgs) = $ 14,300 - $ 13,500 = $ 800
Answer 1.2:
Least Squares Method (Linear Regression):
In this method we follows a simple cost function i.e. y = a + mx
Where
y = total cost
a = total fixed cost
m = slope or level of activity
x = variable cost per unit
So in order to find out variable cost per unit (x) = nΣxy − (Σx) (Σy)
nΣx2 − (Σx)2
Month |
Units in kg (x) |
Total cost (y) |
xy |
x2 |
Jan |
200 |
3800 |
760000 |
40000 |
Feb |
500 |
8600 |
4300000 |
250000 |
March |
900 |
14300 |
12870000 |
810000 |
April |
350 |
5950 |
2082500 |
122500 |
May |
780 |
12800 |
9984000 |
608400 |
June |
800 |
13200 |
10560000 |
640000 |
Total |
3530 |
58650 |
40556500 |
2470900 |
So let’s put all this in the equation:
Variable cost per units (x) = (6)( 40556500) – (3530)(58650) / (6)( 2470900) – (3530)2
= 243339000 – 207034500 / 14825400 – 12460900
= 36304500 / 2364500
= 15.35
Fixed cost = ∑y – b∑x / n = 58650 – (15.35)(3530) / 6 = 4464.5/6 = 744
Answer 1.3:
Difference between high low method and least square method comes in existence because of data they used. In high low method, we consider only two data that is most active and least active data series while least square consider all the data despite of their weight.
I will advise to use least square method as it would consider all months cost despite of most active and least active which tends to ignorance of all other series of data. However this method not easy to use and needs a lot of data.
Answer 1.4:
Month |
Units in kg |
Variable cost |
Fixed Cost |
Total cost |
|||
High Low |
Least Square |
High Low |
Least Square |
High Low |
Least Square |
||
July |
950 |
14250 |
14582.5 |
800 |
744 |
15050 |
15326.5 |
August |
1020 |
15300 |
15657 |
800 |
744 |
16100 |
16401 |