Question
Excel Task 1 & 2 (due week 6): Please submit both tasks together on one pdf document. Do not forget to highlight your answers. Q.
Excel Task 1 & 2 (due week 6): Please submit both tasks together on one pdf document. Do not forget to highlight your answers.
Q. Purchasing Department cost drivers, simple regression analysis
Fashion Flair operates a chain of 10 retail department stores. Each department store makes its own purchasing decisions. Barry Lee, assistant to the president of Fashion Flair, is interested in better understanding the drivers of Purchasing Department costs. For many years, Fashion Flair has allocated Purchasing Department costs to products on the basis of the dollar value of inventory purchased. A $100 item is allocated 10 times as many overhead costs associated with the Purchasing Department as a $10 item.
Barry recently attended a seminar titled Cost drivers in the retail industry. In a presentation at the seminar, Couture Fabrics, a leading competitor, reported number of purchase orders and number of suppliers to be the two most important cost drivers of Purchasing Department costs. The dollar value of inventory purchased in each purchase order was not found to be a significant cost driver. Barry interviewed several members of the Purchasing Department at the Fashion Flair store on the Gold Coast. They believed that Couture Fabricss conclusions also applied to their Purchasing Department.
Barry Lee collects the following data for the most recent year for Fashion Flairs 10 retail department stores:
Department store | Purchasing department costs (PDCs) | Dollar value of inventory purchased (IP$) | Number of purchase orders (no. of POs) | Number of suppliers (no. of Ss) |
Sydney | $1523000 | $68315000 | 4357 | 132 |
Bondi | 1100000 | 33456000 | 2550 | 222 |
Canberra | 547000 | 121160000 | 1433 | 11 |
Gold Coast | 2049000 | 119566000 | 5944 | 190 |
Perth | 1056000 | 33505000 | 2793 | 23 |
Hobart | 529000 | 29854000 | 1327 | 33 |
Brisbane | 1538000 | 102875000 | 7586 | 104 |
Melbourne | 1754000 | 38674000 | 3617 | 119 |
Adelaide | 1612000 | 139312000 | 1707 | 208 |
Double Bay | 1257000 | 130944000 | 4731 | 201 |
Barry decides to use simple regression analysis to examine whether one or more of three variables (the last three columns in the table) are cost drivers of Purchasing Department costs.
Refer to the question above and
Excel task 1: Run the below regression models to estimate a and b
1. Regression 1: PDCs = a + (b IP$)
2. Regression 2: PDCs = a + (b No. of POs)
3. Regression 3: PDCs = a + (b No. of Ss)
Excel task 2:
1. Compare and evaluate the three simple regression models estimated by Barry Lee.
2. Do the regression results support Couture Fabricss presentation about the Purchasing Departments cost drivers?
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