The following data were taken from the income statements of Mydorf Company. 2020 2019 Sales revenue $6,310,000 $6,200,000 Beginning inventory 940,000 855,000 Purchases 4,328,000 4,662,250 Ending inventory 1,000,000 940,000 Incorrect answer iconYour answer is incorrect. Compute for each year the inventory turnover. (Round answers to 1 decimal place, e. g. 1.6.) 2020 2019 Inventory turnover 4.5 times 5.2 times Incorrect answer iconYour answer is incorrect. Compute for each year the days in inventory. (Use 365 days for calculation. Round answers to 1 decimal place, e. g. 1.6.) 2020 2019 Days in inventory 80.7 days 69.3 days Attempts: 1 of 3 used

When slick heating company switched to an activity based costing system, it realized that it was allocating a much lower percentage of factory overhead to a product line that the marketing department was trying to push. the product line may contain which type of products?

The silverside company is considering investing in two alternative projects: project 1 project 2 investment $500,000 $240,000 useful life (years) 8 7 estimated annual net cash inflows for useful life $120,000 $40,000 residual value $32,000 $10,000 depreciation method straightminusline straightminusline required rate of return 11% 8% what is the accounting rate of return for project 2? (round any intermediary calculations to the nearest dollar, and round your final answer to the nearest hundredth of a percent, x.xx%.)

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)? $