Whao want to join a chat? minnitchat/awsomesause

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)? $

Identify and describe a variety of performance rating scales that can be used in organizations including graphical scales, letter scales, and numeric scales.

Aaron corporation, which has only one product, has provided the following data concerning its most recent month of operations: selling price $ 102 units in beginning inventory 0 units produced 4,900 units sold 4,260 units in ending inventory 640 variable costs per unit: direct materials $ 20 direct labor $ 41 variable manufacturing overhead $ 5 variable selling and administrative expense $ 4 fixed costs: fixed manufacturing overhead $ 64,200 fixed selling and administrative expense $ 2,900 the total contribution margin for the month under variable costing is: