Cornerstones of Cost Management (Cornerstones Series)
4th Edition
ISBN: 9781305970663
Author: Don R. Hansen, Maryanne M. Mowen
Publisher: Cengage Learning
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Textbook Question
Chapter 3, Problem 6CE
The controller for Dohini Manufacturing Company felt that the number of purchase orders alone did not explain the monthly purchasing cost. He knew that nonstandard orders (for example, one requiring an overseas supplier) took more time and effort. He collected data on the number of nonstandard orders for the past 12 months and added that information to the data on purchasing cost and total number of purchase orders.
Multiple regression was run on the above data; the coefficients shown by the regression program are:
Required:
- 1. Construct the cost formula for the purchasing activity showing the fixed cost and the variable rate.
- 2. If Dohini Manufacturing Company estimates that next month will have 430 total purchase orders and 45 nonstandard orders, what is the total estimated purchasing cost for that month? (Round your answer to the nearest dollar.)
- 3. What if Dohini Manufacturing wants to estimate purchasing cost for the coming year and expects 5,340 purchase orders and 580 nonstandard orders? What will estimated total purchasing cost be? What is the total fixed purchasing cost? Why doesn’t it equal the fixed cost calculated in Requirement 2? (Round your answers to the nearest dollar.)
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Using Multiple Regression Results to Construct and Apply a Cost Formula
The controller for Dohini Manufacturing Company felt that the number of purchase orders alone did not explain the monthly purchasing cost. He knew that nonstandard orders (for example, one requiring an overseas supplier) took more time and effort. He collected data on the number of nonstandard orders for the past 12 months and added that information to the data on purchasing cost and total number of purchase orders.
Month
Purchasing Cost
Number of Purchase Orders
Number of Nonstandard Orders
January
$18,860
370
53
February
18,065
330
35
March
19,250
370
61
April
18,050
410
14
May
19,345
400
73
June
19,500
450
55
July
19,670
460
30
August
20,940…
Curry Rubber manufactures rubber bands for retail companies. The accounting manager has performed a regression analysis of past data. You notice that the formula has an R-squared of 0.68, a t-value of 2.2, and a standard error of the estimate of $218,200. The estimate for next quarter costs is $2,597,623. Calculate Standard Error as a % of predicted total cost which represents a measure of precision of his regression analysis? (Round your answer to one decimal place, i.e., 0.052 = 5.2%.)
Tom uses his computer to calculate the following regression formula:Weekly total costs = $18,791 + ($19.97 * Number of orders per week) Draw the regression line on your graph. Use your graph to evaluate the regression line using the criteria of economic plausibility, goodness of fit, and significance of the independent variable. Is the cost function estimated using the high-low method a close approximation of the cost function estimated using the regression method? Explain briefly.
Chapter 3 Solutions
Cornerstones of Cost Management (Cornerstones Series)
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