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The gomez company, a merchandising firm, has budgeted its activity for december according to the following information: • sales at $500,000, all for cash. • merchandise inventory on november 30 was $250,000. • the cash balance at december 1 was $20,000. • selling and administrative expenses are budgeted at $50,000 for december and are paid for in cash. • budgeted depreciation for december is $30,000. • the planned merchandise inventory on december 31 is $260,000. • the cost of goods sold represents 75% of the selling price. • all purchases are paid for in cash. the budgeted cash disbursements for december are:

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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)? $