Niles Corporation is a manufacturer that uses job-order costing. The company has supplied the following data for the just completed year: Beginning inventories: Raw materials$47,000 Work in process$20,000 Estimated total manufacturing overhead at the beginning of the year$646,250 Estimated direct labor-hours at the beginning of the year 47,000direct labor-hours Results of operations: Raw materials purchased on account$538,000 Raw materials (all direct) requisitioned for use in production$535,000 Direct labor cost$699,000 Actual direct labor-hours 37,000direct labor-hours Manufacturing overhead: Indirect labor cost$134,000 Other manufacturing overhead costs incurred$453,000 Cost of goods manufactured$1,568,000 The ending balance in the Work in Process inventory account is: (Round your intermediate calculations to 2 decimal places.)

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)? $