Ahigh volume quick‑lube shop is trying to determine how many cases of oil they should order from their oil distributor per time to service their business. their business uses 60,000 cases of oil per year. the annual carrying cost is 20% of the acquisition cost. their order cost is $8.50. the distributor delivers their orders all at one time, but offers the quantity discounts on larger quantities ordered shown below. based on the total annual cost, how many cases of oil should the owner order? (bonus)range of order acquisition costquantities per case1 ‑ 1000 $5.001001 ‑ 2000 $4.502001 + $4.25

Alyeska services company, a division of a major oil company, provides various services to the operators of the north slope oil field in alaska. data concerning the most recent year appear below: sales $18,000,000 net operating income $6,300,000 average operating assets $35,200,000 1. compute the margin for alyeska services company. (round your answer to 2 decimal places.) 2. compute the turnover for alyeska services company. (round your answer to 2 decimal places.) 3. compute the return on investment (roi) for alyeska services company. (round your intermediate calculations and final answer to 2 decimal places.)

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.

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)? $