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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)? $

Use the information below to answer the following question. the boxwood company sells blankets for $60 each. the following was taken from the inventory records during may. the company had no beginning inventory on may 1. date blankets units cost may 3 purchase 5 $20 10 sale 3 17 purchase 10 $24 20 sale 6 23 sale 3 30 purchase 10 $30 assuming that the company uses the perpetual inventory system, determine the gross profit for the month of may using the lifo cost method.

Which of the following does not offer an opportunity for timely content? evergreen content news alerts content that suits seasonal consumption patterns content that matches a situational trigger content that addresses urgent pain points