Chapter 28, Problem 1R

Please use the information from this problem for these calculations. After grouping cost pools and estimating overhead and activities, Box Springs determined these rates: It estimates there will be five orders in the next year, and those jobs will involve: What is the total cost of the jobs?

Please use the information from this problem for these calculations. After grouping cost pools and estimating overhead and activities, Box Springs determined these rates: Box Springs estimates there will be four orders in the next year, and those jobs will involve: What is the total cost of the jobs?

Johnson Filtration. Inc., provides maintenance service for water filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water filtration systems. To estimate the service time and the service cost. Johnson’s managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors: the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performs the repair (Donna Newton or Bob Jones). Data for a sample of 10 service calls are reported in the following table: Develop the simple linear regression equation to predict repair time given the number of months since the last maintenance service, and use the results to test the hypothesis that no relationship exists between repair time and the number of months since the last maintenance service at the 0.05 level of significance. What is the interpretation of this relationship? What does the coefficient of determination tell you about this model? Using the simple linear regression model developed in part (a), calculate the predicted repair time and residual for each of the 10 repairs in the data. Sort the data in ascending order by value of the residual. Do you see any pattern in the residuals for the two types of repair? Do you see any pattern in the residuals for the two repairpersons? Do these results suggest any potential modifications to your simple linear regression model? Now create a scatter chart with months since last service on the x-axis and repair time in hours on the y-axis for which the points representing electrical and mechanical repairs are shown in different shapes and/or colors. Create a similar scatter chart of months since last service and repair time in hours for which the points representing repairs by Bob Jones and Donna Newton are shown in different shapes and/or colors. Do these charts and the results of your residual analysis suggest the same potential modifications to your simple linear regression model? Create a new dummy variable that is equal to zero if the type of repair is mechanical and one if the type of repair is electrical. Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service and the type of repair. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Create a new dummy variable that is equal to zero if the repairperson is Bob Jones and one if the repairperson is Donna Newton. Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service and the repairperson. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Develop the multiple regression equation to predict repair time, given the number of months since the last maintenance service, the type of repair, and the repairperson. What are the interpretations of the estimated regression parameters? What does the coefficient of determination tell you about this model? Which of these models would you use? Why?

The president of a small manufacturing firm is concerned about the continual increase in manufacturing costs over the past several years. The following figures provide a time series of the cost per unit for the firms leading product over the past eight years: a. Construct a time series plot. What type of pattern exists in the data? b. Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. c. What is the average cost increase that the firm has been realizing per year? d. Compute an estimate of the cost/unit for next year.

Using the information in the previous exercises about Marleys Manufacturing, determine the operating income for department B, assuming department A sold department B 1,000 units during the month and department A reduces the selling price to the market price.

Method of Least Squares, Predicting Cost for Different Time Periods from the One Used to Develop a Cost Formula Refer to the information for Farnsworth Company on the previous page. However, assume that Tracy has used the method of least squares on the receiving data and has gotten the following results: Required: 1. Using the results from the method of least squares, prepare a cost formula for the receiving activity. 2. Using the formula from Requirement 1, what is the predicted cost of receiving for a month in which 1,450 receiving orders are processed? (Note: Round your answer to the nearest dollar.) 3. Prepare a cost formula for the receiving activity for a quarter. Based on this formula, what is the predicted cost of receiving for a quarter in which 4,650 receiving orders are anticipated? Prepare a cost formula for the receiving activity for a year. Based on this formula, what is the predicted cost of receiving for a year in which 18,000 receiving orders are anticipated?

Pintura Company implemented a quality improvement program and tracked the following for the five years: By cost category as a percentage of sales for the same period of time: Required: 1. Prepare a bar graph that reveals the trend in quality cost as a percentage of sales (time on the horizontal axis and percentages on the vertical). Comment on the message of the graph. 2. Prepare a bar graph for each cost category as a percentage of sales. What does this graph tell you?

At the end of 20x5, Bing Pharmaceuticals began to implement an environmental quality management program. As a first step, it identified the following costs in its accounting records as environmentally related for the calendar year just ended: Required: 1. Prepare an environmental cost report by category. Assume that total operating costs are 150,000,000. 2. Use a pie chart to illustrate the relative distribution percentages for each environmental cost category. Comment on what this distribution communicates to a manager.

Ross Company implemented a quality improvement program and tracked the following for the five years: By cost category as a percentage of sales for the same period of time: Required: 1. Prepare a bar graph that reveals the trend in quality cost as a percentage of sales (time on the horizontal axis and percentages on the vertical). Comment on the message of the graph. 2. Prepare a bar graph for each cost category as a percentage of sales. What does this graph tell you? 3. What if management would like to have the trend in relative distribution of quality costs? Express this as a bar graph and comment on its significance.