Using Regression Results to Construct and Apply a Cost Formula

McGarvey 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		$19,250		370
February		18,050		330
March		18,200		320
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		600
November		18,800		470
December		19,340		480

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

Intercept	15,676 (rounded to the nearest dollar)
X variable 1	8.03 (rounded to the nearest cent)

Required:

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

Total purchasing cost

=

$fill in the blank 1

+

($fill in the blank 2 Purchase orders)

2. If McGarvey Manufacturing Company estimates that next month will have 440 purchase orders, what is the total estimated purchasing cost for that month? (Round your answer to the nearest dollar.) $fill in the blank 3

3. What if McGarvey Manufacturing wants to estimate purchasing cost for the coming year and expects 6,100 purchase orders? What will estimated total purchasing cost be? (Round your answer to the nearest dollar.) $fill in the blank 4

What is the total fixed purchasing cost? $fill in the blank 5