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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)? $

Paddock pools constructed a swimming pool and deck for the jensens' home. paddock installed the wrong trim on the pool. it would cost $2800 to change the trim-one-fifth of the total cost of the pool. the jensens refuse to pay anything for the pool. the paddock's best defense is: (a) duress (b) substanial performance (c)mistake (d) failure of conditions

Aprimary advantage of organizing economic activity within firms is thea. ability to coordinate highly complex tasks to allow for specialized division of labor. b. low administrative costs because of reduced bureaucracy. c. eradication of the principal-agent problem. d. high-powered incentive to work as salaried employees for an existing firm.