# Question: Thom Betow is the new manager of the materials storeroom

Thom Betow is the new manager of the materials storeroom for Manning Industries. Thom has been asked to estimate future monthly purchase costs for part# 18, used in two of Manning’s products. Thom has purchase cost and quantity data for the past 9 months as follows.

Estimated monthly purchases for this part based on expected demand of the two products for the rest of the year are as follows.

Month Purchase Quantity Expected

October........... 2,750 parts

November......... 3,260

December ........... 2,610

Required

1. The computer in Thom’s office is down and Thom has been asked to immediately provide an equation to estimate the future purchase cost for part# 18. Thom grabs a calculator and uses the high– low method to estimate a cost equation. What equation does he get?

2. Using the equation from requirement 1, calculate the future expected purchase costs for each of the last 3 months of the year.

3. After a few hours Thom’s computer is fixed. Thom uses the first 9 months of data and regression analysis to estimate the relationship between the quantity purchased and purchase costs of part# 18. The regression line Thom obtains is:

y = $ 5,337.90 + 2.56X

Evaluate the regression line using the criteria of economic plausibility, goodness of fit, and significance of the independent variable. Compare the regression equation to the equation based on the high– low method. Which is a better fit? Why?

4. Use the regression results to calculate the expected purchase costs for October, November, and December. Compare the expected purchase costs to the expected purchase costs calculated using the high– low method in requirement 2. Comment on yourresults.

Estimated monthly purchases for this part based on expected demand of the two products for the rest of the year are as follows.

Month Purchase Quantity Expected

October........... 2,750 parts

November......... 3,260

December ........... 2,610

Required

1. The computer in Thom’s office is down and Thom has been asked to immediately provide an equation to estimate the future purchase cost for part# 18. Thom grabs a calculator and uses the high– low method to estimate a cost equation. What equation does he get?

2. Using the equation from requirement 1, calculate the future expected purchase costs for each of the last 3 months of the year.

3. After a few hours Thom’s computer is fixed. Thom uses the first 9 months of data and regression analysis to estimate the relationship between the quantity purchased and purchase costs of part# 18. The regression line Thom obtains is:

y = $ 5,337.90 + 2.56X

Evaluate the regression line using the criteria of economic plausibility, goodness of fit, and significance of the independent variable. Compare the regression equation to the equation based on the high– low method. Which is a better fit? Why?

4. Use the regression results to calculate the expected purchase costs for October, November, and December. Compare the expected purchase costs to the expected purchase costs calculated using the high– low method in requirement 2. Comment on yourresults.

## Answer to relevant Questions

GottaRun is a local company that custom-prints tech running shirts for organized racing events. The company has been in business for 2 years. Normal demand for the tech running shirts is approximately 600 shirts per event. ...Bay-land Manufacturing has been using activity- based costing to determine the cost of product B- 190. One of the activities, “ Inspection,” occurs just before the product is finished. Bayland inspects every 10th unit ...Janice Kerry is the management accountant at the can manufacturing plant of United Packaging. She looked a little puzzled as she stared at the regression equation for estimating the relationship between total engineering ...GST Corporation runs two convenience stores, one in Minneapolis and one in St. Paul. Operating income for each store in 2013 is:The equipment has a zero disposal value. In a senior management meeting, Sven Larsen, ...Utah Soy Products (USP) buys soybeans and processes them into other soy products. Each ton of soybeans that USP purchases for $ 400 can be converted for an additional $ 210 into 675 pounds of soy meal and 80 gallons of soy ...Post your question