On the first day of its fiscal year, Chin Company issued $18,500,000 of five-year, 7% bonds to finance its operations of producing and selling home improvement products. Interest is payable semiannually. The bonds were issued at a market (effective) interest rate of 8%, resulting in Chin Company receiving cash of $17,749,668.

a. Journalize the entries to record the following: Issuance of the bonds. First semiannual interest payment. The bond discount amortization is combined with the semiannual interest payment. Round your answer to the nearest dollar. Second semiannual interest payment. The bond discount amortization is combined with the semiannual interest payment. Round your answer to the nearest dollar.
b. Determine the amount of the bond interest expense for the first year.
c. Explain why the company was able to issue the bonds for only exist9, 594, 415 rather than for the face amount of exist10,000,000.

Joe finally found a house for sale that he liked. which factor could increase the price of the house he likes? a. both he and the seller each have a real estate agent. b. a home inspector finds faulty wiring in the house. c. the house has been for sale for almost a year. d. several buyers all want that same house.

Oakmont company has an opportunity to manufacture and sell a new product for a four-year period. the company’s discount rate is 18%. after careful study, oakmont estimated the following costs and revenues for the new product: cost of equipment needed $ 230,000 working capital needed $ 84,000 overhaul of the equipment in year two $ 9,000 salvage value of the equipment in four years $ 12,000 annual revenues and costs: sales revenues $ 400,000 variable expenses $ 195,000 fixed out-of-pocket operating costs $ 85,000 when the project concludes in four years the working capital will be released for investment elsewhere within the company. click here to view exhibit 12b-1 and exhibit 12b-2, to determine the appropriate discount factor(s) using tables.

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)? $