Delta Health Insurance sells health insurance policies. The company wants to determine the cost equation for claims processing so it can better budget its claims department. Information for the high and low costs and volumes for last year is provided below: Month Activity Volume (Claims) January 120,000 claims Activity Cost $75,000 July 180,000 claims $95,000 Using the high-low method, with claims as the activity driver, what is the level of fixed costs?

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 cost data for BC Billing Solutions for the year 2020 is as follows: Using the high-low method, express the companys overtime wages as an equation where x represents number of invoices processed. Assume BC has monthly fixed costs of $3,800. Predict the overtime wages if 9,000 invoices are processed. Predict the overtime wages if 6,500 invoices are processed. Using Excel, create a scatter graph of the cost data and explain the relationship between the number of invoices processed and overtime wage expense.

Lising Therapy has a physical therapist who performs electro-mechanical treatments for its patients. During April, Lising had the following cost and output information: Required: 1. Calculate the cost per treatment for April. 2. Calculate the cost of services sold for April. 3. What if Lising found a way to reduce overhead costs by 20 percent? How would this affect the profit per treatment?