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Using Regression Results to Construct and Apply a Cost Formula Dohini Manufacturing Company had the following 12 months of data on purchasing cost and number

Using Regression Results to Construct and Apply a Cost Formula

Dohini Manufacturing Company had the following 12 months of data on purchasing cost and number of purchase orders.

Month Purchasing Cost Number of Purchase Orders
January $18,860 370
February 18,065 330
March 19,250 370
April 18,050 410
May 19,345 400
June 19,500 450
July 19,670 460
August 20,940 560
September 19,430 440
October 20,020 500
November 18,800 470
December 19,340 480

The controller for Dohini Manufacturing ran regression on the data, and the coefficients shown by the regression program are:

Intercept 15,021 (rounded to the nearest dollar)
X variable 1 9.74 (rounded to the nearest cent)

Required:

A. Construct the cost formula for the purchasing activity showing the fixed cost and the variable rate.

Total purchasing cost = $ + ($ Purchase orders)

B. If Dohini Manufacturing Company estimates that next month will have 430 purchase orders, what is the total estimated purchasing cost for that month? (Round your answer to the nearest dollar.)

C. What if Dohini Manufacturing wants to estimate purchasing cost for the coming year and expects 5,340 purchase orders? What will estimated total purchasing cost be? (Round your answer to the nearest dollar.) What is the total fixed purchasing cost?

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