: As a result of a thorough physical inventory, Railway Company determined that it had inventory worth $180,000 at December 31. This count did not take into consideration the following facts: Rogers Consignment store currently has goods worth $35,000 on its sales floor that belong to Railway but are being sold on consignment by Rogers. The selling price of these goods is $50,000. Railway purchased $13,000 of goods that were shipped on December 27, FOB destination, that will be received by Railway on January 3. Determine the correct amount of inventory that Railway should report.

Emily sold the following investments during the year: stock date purchased date sold sales price cost basis a. 1,000 shares dot com co. 03-21-2007 02-04-2018 $20,000 $5,000 b. 500 shares big box store 05-19-2017 01-22-2018 $8,200 $7,500 c. 300 shares lotta fun, inc. 10-02-2017 09-21-2018 $3,000 $4,500 d. 700 shares local gas co. 06-17-2017 11-11-2018 $14,000 $17,000 for each stock, calculate the amount and the nature of the gain or loss.

The following information is available for jase company: market price per share of common stock $25.00 earnings per share on common stock $1.25 which of the following statements is correct? a. the price-earnings ratio is 20 and a share of common stock was selling for 20 times the amount of earnings per share at the end of the year. b. the market price per share and the earnings per share are not statistically related to each other. c. the price-earnings ratio is 5% and a share of common stock was selling for 5% more than the amount of earnings per share at the end of the year. d. the price-earnings ratio is 10 and a share of common stock was selling for 125 times the amount of earnings per share at the end of the year.

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)? $