To utilize sophisticated segmentation, the marketing must know more than age, race and gender about the target market. Expensive third-party research is often required.

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)? $

Acompany recorded a check in its accounting records as $87. however, the check was actually written for $78 and it cleared the bank as $78. what adjustment is needed to the personal statement? a. decrease by $9 b. increase by $9 c. decrease by $18 d. increase by $9

Consider derek's budget information: materials to be used totals $64,750; direct labor totals $198,400; factory overhead totals $394,800; work in process inventory january 1, $189,100; and work in progress inventory on december 31, $197,600. what is the budgeted cost of goods manufactured for the year? a. $1,044,650 b. $649,450 c. $657,950 d. $197,600