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Caiman Distribution Partners is the Brazilian distribution company of a U.S. consumer products firm. Inflation in...

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 $ 1,955,000 All variable
Supervision 213,000 $ 143,000 Fixed
Truck expense 1,250,000 $ 196,000 Fixed
Building leases 872,000 $ 552,000 Fixed
Utilities 220,000 $ 128,000 Fixed
Warehouse labor 849,000 $ 120,000 Fixed
Equipment leases 749,000 $ 604,000 Fixed
Data processing equipment 949,000 All fixed
Other 856,000 $ 361,000 Fixed
Total $ 7,913,000

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
1 240,000 118 $5,699,177
2 319,000 126 5,806,676
3 241,000 111 5,849,943
4 451,000 120 5,927,655
5 308,000 120 5,939,173
6 386,000 123 6,043,402
7 455,000 133 5,918,533
8 491,000 140 6,133,906
9 320,000 133 6,126,168
10 438,000 140 6,186,663
11 433,000 139 6,208,837
12 492,000 137 6,362,293

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

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.

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