Waymire Company sells a motor that carries a 60-day unconditional warranty against product failure. From prior years' experience, Waymire estimates that 2% of units sold each period will require repair at an average cost of $100 per unit. During the current period, Waymire sold 68,000 units and repaired 1,000 units.

(a) How much warranty expense must Waymire report in its current period income statement?
$Answer

(b) What warranty liability related to current period sales will Waymire report on its current period-end balance sheet?

Auniversity spent $1.8 million to install solar panels atop a parking garage. these panels will have a capacity of 400 kilowatts (kw) and have a life expectancy of 20 years. suppose that the discount rate is 20%, that electricity can be purchased at $0.10 per kilowatt-hour (kwh), and that the marginal cost of electricity production using the solar panels is zero. hint: it may be easier to think of the present value of operating the solar panels for 1 hour per year first. approximately how many hours per year will the solar panels need to operate to enable this project to break even? a. a.3,696.48 b.14,785.92 c.9,241.20 if the solar panels can operate only for 8,317 hours a year at maximum, the project (would/would not)break even?

What is overdraft protection (odp)? a.) a cheap and easy way to always avoid overdrawing a bank account b.) a service to automatically transfer available funds from a linked account to cover purchases, prevent returned checks and declined items when you don’t have enough money in your checking account at the time of the transaction. c.) an insurance policy sold by banks to prevent others from withdrawing your money d.) a service provided by the government that insures individuals bank deposits up to $250,000

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)? $