Some firms eventually experience problems with their capacity to produce output as their output levels increase. For these firms, .a. market power is substantial. b. supply is perfectly inelastic. c. supply is more elastic at low levels of output and less elastic at high levels of output. d. supply is less elastic at low levels of output and more elastic at high levels of output.

For 2018, rahal's auto parts estimates bad debt expense at 1% of credit sales. the company reported accounts receivable and an allowance for uncollectible accounts of $86,500 and $2,100, respectively, at december 31, 2017. during 2018, rahal's credit sales and collections were $404,000 and $408,000, respectively, and $2,340 in accounts receivable were written off.rahal's accounts receivable at december 31, 2018, are:

Pennewell publishing inc. (pp) is a zero growth company. it currently has zero debt and its earnings before interest and taxes (ebit) are $80,000. pp's current cost of equity is 10%, and its tax rate is 40%. the firm has 10,000 shares of common stock outstanding selling at a price per share of $48.00. refer to the data for pennewell publishing inc. (pp). pp is considering changing its capital structure to one with 30% debt and 70% equity, based on market values. the debt would have an interest rate of 8%. the new funds would be used to repurchase stock. it is estimated that the increase in risk resulting from the added leverage would cause the required rate of return on equity to rise to 12%. if this plan were carried out, what would be pp's new value of operations? a. $484,359 b. $521,173 c. $584,653 d. $560,748 e. $487,805

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)? $