Required information (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 Supplies Supervision Truck expense Building leases Utilities Warehouse labor Equipment leases Data processing equipment Other Total Operating cost $1,442,000 221,000 1,190,000 862,000 203,000 835,000 757,000 952,000 837,000 $7,299,000 Behavior All variable $139,000 Fixed $ 205,000 Fixed $548,000 Fixed $ 109,000 Fixed $ 159,000 Fixed $585,000 Fixed All fixed $372,000 Fixed 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 1 2 3 4 5 6 7 8 9 10 11 12 Cases 243,000 333,000 244,000 403,000 319,000 346,000 376,000 470,000 370,000 432,000 387,000 471,000 Price Index 125 114 120 115 122 124 136 130 140 136 139 131 Operating costs $5,699,163 5,806,662 5,849,929 5,927,641 5,939, 159 6,043,388 5,918,519 6,133,892 6,126,154 6,186,649 6,208,823 6,362,279 These data are considered representative for both past and future operations in Brazil. d-1. Enter the regression coefficients. 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 137 for next month. Complete this question by entering your answers in the tabs below. Req D1 Req D2 Enter the regression coefficients. Run a multiple regression analysis based on operating costs on cases shipped and the price level. (Round "Cases" to 5 decimal places and "Price Index" to 5 decimal places.) Intercept Cases Price Index Req DI Req D2 > d-1. Enter the regression coefficients. 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 137 for next month. Complete this question by entering your answers in the tabs below. Req D1 Req D2 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 137 for next month. (Round the case coefficient to 5 decimal places and the price index coefficient to 2 decimal places. Round the final answer to the nearest whole dollar amount.) Show less A Estimate of operating cost Req D1 Req D2 ) Required information (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 Supplies Supervision Truck expense Building leases Utilities Warehouse labor Equipment leases Data processing equipment Other Total Operating cost $1,442,000 221,000 1,190,000 862,000 203,000 835,000 757,000 952,000 837,000 $7,299,000 Behavior All variable $139,000 Fixed $ 205,000 Fixed $548,000 Fixed $ 109,000 Fixed $ 159,000 Fixed $585,000 Fixed All fixed $372,000 Fixed 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 1 2 3 4 5 6 7 8 9 10 11 12 Cases 243,000 333,000 244,000 403,000 319,000 346,000 376,000 470,000 370,000 432,000 387,000 471,000 Price Index 125 114 120 115 122 124 136 130 140 136 139 131 Operating costs $5,699,163 5,806,662 5,849,929 5,927,641 5,939, 159 6,043,388 5,918,519 6,133,892 6,126,154 6,186,649 6,208,823 6,362,279 These data are considered representative for both past and future operations in Brazil. d-1. Enter the regression coefficients. 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 137 for next month. Complete this question by entering your answers in the tabs below. Req D1 Req D2 Enter the regression coefficients. Run a multiple regression analysis based on operating costs on cases shipped and the price level. (Round "Cases" to 5 decimal places and "Price Index" to 5 decimal places.) Intercept Cases Price Index Req DI Req D2 > d-1. Enter the regression coefficients. 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 137 for next month. Complete this question by entering your answers in the tabs below. Req D1 Req D2 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 137 for next month. (Round the case coefficient to 5 decimal places and the price index coefficient to 2 decimal places. Round the final answer to the nearest whole dollar amount.) Show less A Estimate of operating cost Req D1 Req D2 )