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 oost associated with a particular manufacturing Volume. Considerthe followmg sample of production volumes and total cost data for a manufacturing operation. Production Volume Total Cost (unis) ($) 400 3,900 450 5,100 550 5,300 600 6,000 700 6,500 750 7,000 (a) Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume. (Round your numerical values to two decimal places.) y: (b) What is the variable cost (in dollars) per unit produced? $: (c) Compute the coefcient of determination. (Round your answer to three decimal places.) E What peroentage of the variation ll'l total oost can be explained by production volume? (Round your answer to one decimal place.) (d) The company's production schedule shows 650 units must be produced nat month. Predict the total cost (in dollars) for this operation. (Round your answerto the nearest Dent.) $