Kohers Inc. is considering a leasing arrangement to finance some manufacturing tools that it needs for the next 3 years. The tools will be obsolete and worthless after 3 years. The firm will depreciate the cost of the tools on a straight-line basis over their 3-year life. It can borrow $4,800,000, the purchase price, at 10% and buy the tools, or it can make 3 equal end-of-year lease payments of $2,100,000 each and lease them. The loan obtained from the bank is a 3-year simple interest loan, with interest-only paid at the end of the year. The loan principal would be repaid in year 3. The firm's tax rate is 40%. Annual maintenance costs associated with ownership would start immediately and are estimated at $240,000, but this cost would be borne by the lessor if it leases. What is the net advantage to leasing (NAL)?
(Hint: Donât double count the tax savings from interest).
Assume that the capital structure is 100% debt when calculating WACC.

At the end of the week, carla receives her paycheck and goes directly to the bank after work to make a deposit into her savings account. the bank keeps the required reserve and then loans out the remaining balance to a qualified borrower named malik as a portion of his small business loan. malik uses the loan to buy a tractor for his construction business and makes small monthly payments to the bank to payback the principal balance plus interest on the loan. the bank profits from a portion of the interest payment received and also passes some of the interest back to carla in the form of an interest payment to her savings account. in this example, the bank is acting

Need true or false 1 2 3 4 5 6 7 8

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)? $