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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)? $

What are the positive environmental trends seen today? many industries are taking measures to reduce the use( _gold, carbon dioxide, ozone_) of -depleting substances and are turning to(_scarce, renewable, non-recyclable_) energy sources though they may seem expensive. choose one of those 3 option to fill the

The following cost and inventory data are taken from the accounting records of mason company for the year just completed: costs incurred: direct labor cost $ 90,000 purchases of raw materials $ 134,000 manufacturing overhead $ 205,000 advertising expense $ 45,000 sales salaries $ 101,000 depreciation, office equipment $ 225,000 beginning of the year end of the year inventories: raw materials $ 8,100 $ 10,300 work in process $ 5,900 $ 21,000 finished goods $ 77,000 $ 25,800 required: 1. prepare a schedule of cost of goods manufactured. 2. prepare the cost of goods sold section of mason company’s income statement for the year.