[The following information applies to the questions displayed below.]

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	$	1,048,000		All variable
Supervision		220,000		$	166,000	Fixed
Truck expense		1,210,000		$	194,000	Fixed
Building leases		836,000		$	538,000	Fixed
Utilities		217,000		$	113,000	Fixed
Warehouse labor		849,000		$	123,000	Fixed
Equipment leases		761,000		$	611,000	Fixed
Data processing equipment		949,000		All fixed
Other		869,000		$	395,000	Fixed
Total	$	6,959,000

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	267,000	105	$5,699,155
2	354,000	108	5,806,654
3	268,000	118	5,849,921
4	420,000	123	5,927,633
5	332,000	127	5,939,151
6	349,000	119	6,043,380
7	391,000	130	5,918,511
8	454,000	136	6,133,884
9	380,000	133	6,126,146
10	405,000	132	6,186,641
11	402,000	131	6,208,815
12	455,000	143	6,362,271

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

rev: 11_25_2017_QC_CS-108812

3.

value: 15.00 points

Required information

c-1. Enter the regression coefficients. (Round "Cases" to 5 decimal places.)

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. (Round variable costs per unit to 5 decimal places. Round the intercept and final answer to the nearest whole dollar amount.)

d-1. Enter the regression coefficients. (Round "Cases" to 5 decimal places and "Price Index" to 5 decimal places.)

d-2. Compute the estimation of operating costs assuming that 450,000 cases will be shipped next month by using the results of a multiple regression of operating costs on cases shipped and the price level. Assume a price level of 149 for next month. (Round "Cases" and "Price Index" to 5 decimal places. Round the final answer to the nearest whole dollar amount.)