Chelsa manufacturing co.'s static budget at 5,000 units of production includes $40,000 for direct labor and $5,000 for variable electric power. total fixed costs are $23,000. at 8,000 units of production, a flexible budget would show a. variable costs of $64,000, and $28,000 of fixed costs b. variable and fixed costs totaling $107,000 c. variable costs of $64,000, and $23,000 of fixed costs d. variable costs of $72,000, and $23,000 of fixed costs

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)? $

If a product goes up in price, and the demand for it drops, that product's demand is a. elastic b. inelastic c. stable d. fixed select the best answer from the choices provided

Asupermarket has been experiencing long lines during peak periods of the day. the problem is noticeably worse on certain days of the week, and the peak periods are sometimes different according to the day of the week. there are usually enough workers on the job to open all cash registers. the problem is knowing when to call some of the workers stocking shelves up to the front to work the checkout counters. how might decision models the supermarket? what data would be needed to develop these models?