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Cost Accounting (14th Edition)

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ASSIGNMENT MATERIAL 387<br />

Lee collects the following data for the most recent year for Fashion Bling’s 10 retail department stores:<br />

A<br />

B<br />

C<br />

D<br />

E<br />

1<br />

Department Store<br />

Purchasing<br />

Department<br />

<strong>Cost</strong>s<br />

(PDC)<br />

Dollar Value of<br />

Merchandise<br />

Purchased<br />

(MP$)<br />

Number of<br />

Purchase<br />

Orders<br />

(No. of POs)<br />

Number of<br />

Suppliers<br />

(No. of Ss)<br />

2<br />

Baltimore<br />

$1,522,000<br />

$ 68,307,000<br />

4,345<br />

125<br />

3<br />

Chicago<br />

1,095,000<br />

33,463,000<br />

2,548<br />

230<br />

4<br />

Los Angeles<br />

542,000<br />

121,800,000<br />

1,420<br />

8<br />

5<br />

Miami<br />

2,053,000<br />

119,450,000<br />

5,935<br />

188<br />

6<br />

New York<br />

1,068,000<br />

33,575,000<br />

2,786<br />

21<br />

7<br />

Phoenix<br />

517,000<br />

29,836,000<br />

1,334<br />

29<br />

8<br />

Seattle<br />

1,544,000<br />

102,840,000<br />

7,581<br />

101<br />

9<br />

St. Louis<br />

1,761,000<br />

38,725,000<br />

3,623<br />

127<br />

10<br />

Toronto<br />

1,605,000<br />

139,300,000<br />

1,712<br />

202<br />

11<br />

Vancouver<br />

1,263,000<br />

130,110,000<br />

4,736<br />

196<br />

Lee decides to use simple regression analysis to examine whether one or more of three variables (the last<br />

three columns in the table) are cost drivers of purchasing department costs. Summary results for these<br />

regressions are as follows:<br />

Regression 1: PDC = a + (b * MP$)<br />

Variable Coefficient Standard Error t-Value<br />

Constant $1,041,421 $346,709 3.00<br />

Independent variable 1: MP$ 0.0031 0.0038 0.83<br />

r 2 = 0.08; Durbin-Watson statistic = 2.41<br />

Regression 2: PDC = a (b *<br />

No. of POs)<br />

Variable Coefficient Standard Error t-Value<br />

Constant $ 722,538 $ 265,835 2.72<br />

Independent variable 1: No. of POs $ 159.48 $ 64.84 2.46<br />

r 2 = 0.43; Durbin-Watson statistic = 1.97<br />

Regression 3: PDC = a + (b *<br />

No. of Ss)<br />

Variable Coefficient Standard Error t-Value<br />

Constant $ 828,814 $246,570 3.36<br />

Independent variable 1: No. of Ss $ 3,816 $ 1,698 2.25<br />

r 2 = 0.39; Durbin-Watson statistic = 2.01<br />

1. Compare and evaluate the three simple regression models estimated by Lee. Graph each one. Also,<br />

use the format employed in Exhibit 10-18 (p. 372) to evaluate the information.<br />

2. Do the regression results support the Couture Fabrics’ presentation about the purchasing department’s<br />

cost drivers? Which of these cost drivers would you recommend in designing an ABC system?<br />

3. How might Lee gain additional evidence on drivers of purchasing department costs at each of Fashion<br />

Bling’s stores?<br />

Required

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