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Comparison of Regression Equations Friendly Bank is attempting to determine the cost behavior of its small business lending operations. One of the major activities is the application activity. Two possible activity drivers have been mentioned: application hours (number of hours to complete the application) and number of applications. The bank controller has accumulated the following data for the setup activity: Month Application Costs Application Hours Number of Applications February $7,700 2,000 70 March 7,650 2,100 50 April 10,052 3,000 50 May 9,400 2,700 60 June 9,584 3,000 20 July 8,480 2,500 40 August 8,550 2,400 60 September 9,735 2,900 50 October 10,500 3,000 90 Required: In the computations below, use intercepts rounded to the nearest whole number and use X variable coefficients rounded to 2 decimal places. 1. Estimate a regression equation with application hours as the activity driver and the only independent variable. If the bank forecasts 2,600 application hours for the next month, what will be the budgeted application cost? Round your answer to the nearest dollar. $ 2. Estimate a regression equation with number of applications as the activity driver and the only independent variable. If the bank forecasts 80 applications for the next month, what will be the budgeted application cost? Round your answer to the nearest dollar. $ 3. Which of the two regression equations do you think does a better job of predicting application costs? 4. Run a multiple regression to determine the cost equation using both activity drivers. What are the budgeted application costs for 2,600 application hours and 80 applications? Round your answer to the nearest cent. $

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