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Elliott company produces large quantities of a standardized product. the following information is available for its production activities for march. units costs beginning work in process inventory 2,500 beginning work in process inventory started 25,000 direct materials $ 3,725 ending work in process inventory 5,000 conversion 11,580 $ 15,305 status of ending work in process inventory direct materials added 185,750 materials—percent complete 100 % direct labor added 182,375 conversion—percent complete 30 % overhead applied (140% of direct labor) 255,325 total costs to account for $ 638,755 ending work in process inventory $ 62,530 prepare a process cost summary report for this company, showing costs charged to production, unit cost information, equivalent units of production, cost per eup, and its cost assignment and reconciliation. use the weighted-average method. (round "cost per eup" to 2 decimal places.)

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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)? $