Ohn invested $12,000 in the stock of hyper cyber eight years later, hyper cyber's shares reached $125,000, but john held onto the shares in the belief that their price would double in the next five years. unfortunately, hyper cyber did not double. rather the market value of john's shares today is $4,000. if the shares were sold and the proceeds invested in another investment, they would likely earn 5% per annum. which of the following terms and values is correct?

$125,000 is the opportunity cost of selling the shares today

$12,000 is a sunk cost

$250,000 is the opportunity cost

$2000 is the opportunity cost

none of the above

Abond is issued for less than its face value. which statement most likely would explain why? a. the bond's contract rate is higher than the market rate at the time of the issue. b. the bond's contract rate is the same as the market rate at the time of the issue. c. the bond's contract rate is lower than the market rate at the time of the issue. d. the bond isn't secured by specific assets of the corporation.

"in my opinion, we ought to stop making our own drums and accept that outside supplier's offer," said wim niewindt, managing director of antilles refining, n.v., of aruba. "at a price of $21 per drum, we would be paying $4.70 less than it costs us to manufacture the drums in our own plant. since we use 70,000 drums a year, that would be an annual cost savings of $329,000." antilles refining's current cost to manufacture one drum is given below (based on 70,000 drums per year):

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)? $