Ebo LTD is planning to determine its variable and fixed cost elements for its planned activity level for the next year. The company has recorded the following costs and production units in the past six months:

Month Units (X) Cost (Y)
January 5.8 40.3
February 7.7 47.1
March 8.2 48.7
April 6.1 40.6
May 6.5 44.5
June 7.5 47.1

Required:

i) Construct the least square regression model. 
ii) Determine the variable cost per unit of output using the model. 
iii) Determine the fixed cost for the month using the model. 
iv) Estimate the total cost if the company plans to produce 6,200 units.

Construction of regression model

Month X (Units) Y (Cost) XY
January 5.8 40.3 33.64 233.74
February 7.7 47.1 59.29 362.67
March 8.2 48.7 67.24 399.34
April 6.1 40.6 37.21 247.66
May 6.5 44.5 42.25 289.25
June 7.5 47.1 56.25 353.25

∑X = 41.8, ∑Y = 268.3, ∑X² = 295.88, ∑XY = 1,885.91


ii) Variable cost per unit (b):

b=n∑XY−∑X∑Yn∑X2−(∑X)2b = \frac{n∑XY – ∑X ∑Y}{n∑X² – (∑X)²} b=6(1,885.91)−(41.8)(268.3)6(295.88)−(41.8)2b = \frac{6(1,885.91) – (41.8)(268.3)}{6(295.88) – (41.8)²} b=11,315.46−11,214.941,775.28−1,747.24b = \frac{11,315.46 – 11,214.94}{1,775.28 – 1,747.24} b=100.5228.04=3.58b = \frac{100.52}{28.04} = 3.58

Variable cost per unit = 3.58 GH¢


iii) Fixed cost (a):

a=∑Y−b∑Xna = \frac{∑Y – b∑X}{n} a=268.3−(3.58×41.8)6a = \frac{268.3 – (3.58 \times 41.8)}{6} a=268.3−149.326a = \frac{268.3 – 149.32}{6} a=118.986=19.77a = \frac{118.98}{6} = 19.77

Fixed cost = 19.77 GH¢


iv) Estimated total cost for 6,200 units:

Using the regression model:

Y=a+bxY = a + bx Y=19.77+(3.58×6,200)Y = 19.77 + (3.58 \times 6,200) Y=19.77+22,196Y = 19.77 + 22,196 Y=22,215.77GH¢Y = 22,215.77 GH¢

Total estimated cost = 22,215.77 GH¢

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