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Caiman Distribution Partners is the Brazilian distribution company of a U.S. consumer products firm. Inflation in Brazil has made bidding and budgeting difficult for marketing managers trying to penetrate some of the country's rural regions. The company expects to distribute 450,000 cases of products in Brazil next month. The controller has classified operating costs (excluding costs of the distributed product) as follows.

Account	Operating Cost			Behavior
Supplies	$	1,442,000		All variable
Supervision		221,000		$	139,000	Fixed
Truck expense		1,190,000		$	205,000	Fixed
Building leases		862,000		$	548,000	Fixed
Utilities		203,000		$	109,000	Fixed
Warehouse labor		835,000		$	159,000	Fixed
Equipment leases		757,000		$	585,000	Fixed
Data processing equipment		952,000		All fixed
Other		837,000		$	372,000	Fixed
Total	$	7,299,000

Although overhead costs were related to revenues throughout the company, the experience in Brazil suggested to the managers that they should incorporate information from a published index of Brazilian prices in the distribution sector to forecast overhead in a manner more likely to capture the economics of the business.

Following instructions from the corporate offices, the controller's office in Brazil collected the following information for monthly operations from last year.

Month	Cases	Price Index	Operating Costs
1	243,000	125	$5,699,163
2	333,000	114	5,806,662
3	244,000	120	5,849,929
4	403,000	115	5,927,641
5	319,000	122	5,939,159
6	346,000	124	6,043,388
7	376,000	136	5,918,519
8	470,000	130	6,133,892
9	370,000	140	6,126,154
10	432,000	136	6,186,649
11	387,000	139	6,208,823
12	471,000	131	6,362,279

These data are considered representative for both past and future operations in Brazil.

rev: 10_16_2019_QC_CS-186472, 10_13_2020_QC_CS-234647, 10_13_2020_QC_CS-234650

c-1. Using Excel, calculate the simple regression of operating costs on cases shipped and enter the regression coefficients.

c-2. Compute the estimation of operating costs assuming that 450,000 cases will be shipped next month by using the results of a simple regression of operating costs on cases shipped.