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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)? $

Zapper has beginning equity of $257,000, net income of $51,000, dividends of $40,000 and investments by stockholders of $6,000. its ending equity is

Jeanie had always been interested in how individuals and businesses effectively allocate their resources in order to accomplish personal and organizational goals. that’s why she majored in economics and took on an entry-level position at an accounting firm. she is very interested in further advancing her career by looking into a specialization that builds upon her academic background, and her interest in deepening her understanding of how companies adjust their operating results to incorporate the economic impacts of their practices on internal and external stakeholders. which specialization could jeanie follow to get the best of both worlds? jeanie should chose to get the best of both worlds.