Suppose that Ms. Thomson is currently exhausting her money income by purchasing 10 units of A and 8 units of B at prices of $2 and $4, respectively. The marginal utility of the last units of A and B are 16 and 24, respectively. These data suggest that Ms. Thomson .

Eagle sporting goods reported the following data at july ​31, 2016​, with amounts adapted in​ thousands: ​(click the icon to view the income​ statement.) ​(click the icon to view the statement of retained​ earnings.) ​(click the icon to view the balance​ sheet.) 1. compute eagle​'s net working capital. 2. compute eagle​'s current ratio. round to two decimal places. 3. compute eagle​'s debt ratio. round to two decimal places. do these values and ratios look​ strong, weak or​ middle-of-the-road? 1. compute eagle​'s net working capital. total current assets - total current liabilities = net working capital 99400 - 30000 = 69400 2. compute eagle​'s current ratio. ​(round answer to two decimal​ places.) total current assets / total current liabilities = current ratio 99400 / 30000 = 3.31 3. compute eagle​'s debt ratio. ​(round answer to two decimal​ places.) total liabilities / total assets = debt ratio 65000 / 130000 = 0.50 do these ratio values and ratios look​ strong, weak or​ middle-of-the-road? net working capital is ▾ . this means ▾ current assets exceed current liabilities current liabilities exceed current assets and is a ▾ negative positive sign. eagle​'s current ratio is considered ▾ middle-of-the-road. strong. weak. eagle​'s debt ratio is considered ▾ middle-of-the-road. strong. weak. choose from any list or enter any number in the input fields and then continue to the next question.

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)? $

In each of the following cases, find the unknown variable. ignore taxes. (do not round intermediate calculations and round your answers to the nearest whole number, e.g., 32.) accounting unit price unit variable cost fixed costs depreciation break-even 20,500 $ 44 $ 24 $ 275,000 $ 133,500 44 4,400,000 940,000 8,000 75 320,000 80,000