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Tony Kichumi, a financial analyst at Green City Bus Company Ltd. is examining the behaviour of the company?s monthly transportation costs for budgeting purposes. The transportation costs...

      

Tony Kichumi, a financial analyst at Green City Bus Company Ltd. is examining the
behaviour of the company‟s monthly transportation costs for budgeting purposes.
The transportation costs are a sum of a two types of costs:
1) Operating costs, such as fuel and labour.
2) Maintenance costs, such as overhaul of engines and spraying.
Kichumi collects monthly data on items 1 and 2 above and the distance covered by the
buses. Monthly observations for the year ended 31 December 2004 were as follows:
fig1175853.png
fig1275856.png
Required:
(a) Evaluate the three linear regression equations using:
(i) Economic plausibility.
(ii) Goodness of fit
(iii) Significance of independent variables.
(iv) Specifications analysis criteria
(Use a 95% confidence level where applicable).
(b) List three variables, other than distance covered, that could be important drivers of
the company's operating costs.
(c) Suggest an alternative database that Kichumi could have used to examine the drivers
of the company‟s maintenance costs.
(d) Explain three limitations of the linear regression analysis used by the company.

  

Answers


Kavungya
fig1375903.png

(b) Variables that could be important cost drivers of the company?s operating costs include:
1) Fuel consumed in litres
2) Number of employees
3) Product mix characteristics
4) Route mix characteristics e.g. number of short Vs. long trips.
5) Age and maintenance record of vehicles.

(c) An alternative data base for use in quantitative analysis would be annual maintenance costs
and annual kilometers traveled. This data base would be less prone to within the year
deferral of maintenance costs to months with low kilometers traveled. However,
management may also defer maintenance expenditure across years due to pressure from
short run profit performance for example.

(d) Limitations of regression analysis method
(i) A sufficient number of observations is required to derive an acceptable cost function.
This may not be the case in the analysis.
(ii) The assumption that the function is linear may be misleading.
(iii) The cost function is valid only within the relevant range.
(iv) The function may not hold where historical performance is different from expected
future performance.
(v) The observed data may be affected by inflation or accounting policy and thus affecting
the final function.
(vi) The cost and the activity level sometimes do not relate to the same period especially
where wages paid to one period may be calculated by reference to the output of a
previous period.
Kavungya answered the question on May 7, 2021 at 06:04


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