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The Ramesh Company manufactures a wide range of products at several different factory locations. The Ruiru plant which manufactures electrical components, has been experiencing some

The Ramesh Company manufactures a wide range of products at several different factory locations. The Ruiru plant which manufactures electrical components, has been experiencing some difficulties with fluctuating monthly overhead costs. The fluctuations have made it difficult to estimate the level of overhead costs that will be incurred for any one month.

Management wants to be able to estimate overhead costs accurately in order to better plan for its operations and financial needs. A manufacturing association bulletin to which Ramesh Company subscribes indicates that for companies manufacturing electrical components, overhead costs tend to vary with direct labour hours.

One member of the accounting staff suggested that a good starting point is to determine the cost estimating function of overhead costs by analyzing the historical cost and production data. She has suggested the use of simple linear regression method. Data on direct labour hours and overhead costs incurred for the past two years has been put together as shown below.

Month

Year 2017

Direct Labour hours

Overhead Costs (Sh)

Year 2018

Direct Labour

Hours

Overhead Costs (Sh)

January

20,000

86,000

21,000

86,000

February

25,000

99,000

24,000

93,000

March

22,000

89,500

23,000

93,000

April

23,000

90,000

22,000

87,000

May

20,000

81,500

20,000

80,000

June

19,000

75,500

18,000

76,500

July

14,000

70,500

12,000

67,500

August

10,000

64,500

13,000

71,000

September

12,000

69,000

15,000

73,500

October

17,000

75,000

17,000

72,500

November

16,000

71,500

15,000

71,000

December

19,000

78,000

75,000

75,000

(a) Use the in-built regression function in your calculator to estimate the fixed overhead costs per month and the variable costs per direct labour hour.

(b) Use MS Excel to analyse the data using simple linear regression at 99% confidence interval.

(i) Paste the summary output from the regression analysis. Hint. Format the output appropriately.

(ii) Write the overhead cost estimating function.

(iii) Evaluate the estimating function using;

- Coefficient of determination, R2

- The global test (F-test) Hint: the hypotheses for this test are;

Ho: 0 = 1 = 0; H1: At least one i is not equal to zero

(iv) Assess whether the information appearing in the manufacturing association bulletin in regarding to the overhead cost driver is accurate. Hint: Use t-test.

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