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Tempe Office Services and Supplies (TOSS) provides various products and services in the Tempe Research Park, home to numerous high-tech and bio-tech companies. Making color
Tempe Office Services and Supplies (TOSS) provides various products and services in the Tempe Research Park, home to numerous high-tech and bio-tech companies. Making color copies is one of its most popular and profitable services. The controller performed a regression analysis of data from the Color Copy Department with the following results: |
Intercept R square Number of observations x coefficient 449.26 0.8225416 0.05771 The regression output was based on the following data: Color Copy Department Number of Month Color Copies Costs 51,445 1,858 1,785 1,530 1,615 2,040 July August 17,000 21,250 22,950 18,700 20,400 25,500 October November Required: 1. What is the variable cost per color copy for TOSS? (Enter your answer in cents, rounded to 1 decimal place(i.e, $0.076 should be entered as 7.6]). 5.8 per color copy (in cents) 2. What is the foxed cost for the Color Copy Department? (Round your answer to 2 decimal places.) Fixed Cost 449.26 per Month. 3. Based on the regression output obtained by the controller, what cost formula should be used to estimate future total costs for the Color Copy Department? Enter answer as an equation in the form of y a bx. (Round your fixed costs to 2 decimal places and your variable costs to 3 decimal places.) Cost $ 440.201 + 15.771 (per Number of Color Copies) 5-a. Use the high-low method to estimate the variable and fixed costs for the Color Copy Department. Round your answers to 2 decimal places.) Variable Cost Fixed Cost 5-b. What cost formula should be used based on your anaysis? Enter answer as an equation in the form ofy abx. (Round your answers to 2 decimal places.) (per Number of Color Copies) 6. If 22,100 copies are made during January, what is the total cost predicted by each method? (Use the answers that you provided in parts 3 and 5-b and round your final answers to 2 decimal places.) Total Cost Regression High-Low
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