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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)? $

This activity is important because as a marketing manager, you must allocate resources to reach your target market. during the strategic marketing process, managers move through three important phases to determine how to optimally allocate resources: a planning phase, an implementation phase, and an evaluation phase. in this interactive exercise, you are asked to review various strategic marketing actions and determine where in the strategic marketing process the action would occur. the goal of this exercise is to demonstrate your understanding of the strategic marketing process and related marketing actions.

Ellen and george work for the same company. ellen, a gen xer, really appreciates the flextime opportunities, while george, a baby boomer, takes advantage of the free computer training offered at the company. these policies are examples of