b. Assume that the machine was purchased on September 1, 2018. Calculate each year’s depreciation expense for the period 2018-2024 under each of the following depreciation methods:

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)? $

Which of the following would be an accurate statement about achieving a balanced budget

Russell's is considering purchasing $697,400 of equipment for a four-year project. the equipment falls in the five-year macrs class with annual percentages of .2, .32, .192, .1152, .1152, and .0576 for years 1 to 6, respectively. at the end of the project the equipment can be sold for an estimated $135,000. the required return is 13.2 percent and the tax rate is 23 percent. what is the amount of the aftertax salvage value of the equipment assuming no bonus depreciation is taken