Culinary Enterprises manufactures cookware sets and sells the sets to department stores. Culinary expects to sell 2 comma 600 cookware sets for $ 300 each in April and 3 comma 300 cookware sets for $ 315 each in May. Sales are 30% cash and 70% on account. Compute the total budgeted sales for May. A. $ 780 comma 000 B. $ 1 comma 039 comma 500 C. $ 311 comma 850 D. $ 727 comma 650

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $

The following costs were incurred in may: direct materials $ 44,800 direct labor $ 29,000 manufacturing overhead $ 29,300 selling expenses $ 26,800 administrative expenses $ 37,100 conversion costs during the month totaled:

Awork system has five stations that have process times of 5, 9, 4, 9, and 8. what is the throughput time of the system? a. 7b. 4c. 18d. 35e. 9