Arrange the following income statement items so they are in the proper order of an income statement:Taxes Earnings per share Shares outstanding Earnings before taxes
Gross profit shares outstanding Cost of goods sold
Interest expense Earnings after taxes
Depreciation expense Earnings available to common
Preferred stock dividends stockholders
Operating profit Selling and administrative expense
Sales
Gross profit

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)? $

Afarmer is an example of what kind of producer?

Kubin company’s relevant range of production is 24,000 to 31,000 units. when it produces and sells 27,500 units, its average costs per unit are as follows: