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Cost Formulas, Single and Multiple Activity Drivers, Coefficient of Correlation

Kimball Company has developed the following cost formulas:

Material usage: Y_m = $85X; r = 0.97

Labor usage (direct): Y_l = $17X; r = 0.96

Overhead activity: Y_o = $349,000 + $100X; r = 0.73

Selling activity: Y_s = $52,000 + $12X; r = 0.92

where

X = Direct labor hours

The company has a policy of producing on demand and keeps very little, if any, finished goods inventory (thus, units produced equals units sold). Each unit uses one direct labor hour for production.

The president of Kimball Company has recently implemented a policy that any special orders will be accepted if they cover the costs that the orders cause. This policy was implemented because Kimball's industry is in a recession and the company is producing well below capacity (and expects to continue doing so for the coming year). The president is willing to accept orders that minimally cover their variable costs so that the company can keep its employees and avoid layoffs. Also, any orders above variable costs will increase overall profitability of the company.

Required:

1. Compute the total unit variable cost. Suppose that Kimball has an opportunity to accept an order for 20,000 units at $224 per unit. $

Should Kimball accept the order? (The order would not displace any of Kimballs regular orders.)

2. Suppose that a multiple regression equation is developed for overhead costs: Y = $102,000 + $100X₁ + $5,000X₂ + $300X₃, where X₁ = direct labor hours, X₂ = number of setups, and X₃ = engineering hours. The coefficient of determination for the equation is 0.92. Assume that the order of 20,000 units requires 12 setups and 600 engineering hours. Given this new information, should the company accept the special order referred to in Requirement 1?

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