Are freight charges contra-asset?

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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)? $

You are evaluating two different silicon wafer milling machines. the techron i costs $285,000, has a three-year life, and has pretax operating costs of $78,000 per year. the techron ii costs $495,000, has a five-year life, and has pretax operating costs of $45,000 per year. for both milling machines, use straight-line depreciation to zero over the project’s life and assume a salvage value of $55,000. if your tax rate is 24 percent and your discount rate is 11 percent, compute the eac for both machines.