Auditors-Are-Us LLC, audited the financial statements of LINKCO Industries, a private company, for the year ended December 31, 2020. Materiality threshold was $500,000. The following issues were encountered during the audit: 1. Management understated Income Tax Expense by $800,000. The auditors' Proposed Adjusting Journal Entry was accepted. This was a matter that involved especially challenging, subjective and complex judgements.
2. Management revealed to the auditors that it had lost a customer - Alliance Industries - on June 1, 2021. This Customer accounted for 25% of LINKCOS Revenues in 2020.
3. LINKCO is a defendant in a lawsuit alleging patent infringement. This is adequately disclosed in the Notes to the Financial Statements but no provision for liability was recorded by Management. The auditors Proposed Adjusting Journal Entry for $1,000,000 was rejected by Management. Masco's Net Income is $8,000,000 in 2020. It had weighted average common shares outstanding of 200,000 and fully diluted shares of 400,000 during 2020.

Which of the following actions would be most likely to reduce potential conflicts of interest between stockholders and bondholders? a) compensating managers with stock options, b) financing risky projects with additional debt, c) the threat of hostile takeovers, d) the use of covenants in bond agreements that limit the firm's use of additional debt and constrain managers actions, e) abolishing the security and exchange commission

4. the condition requires that only one of the selected criteria be true for a record to be displayed.

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)? $