The operations manager for shadyside savings & loan orders cash from her home office for her very popular "big bucks" automated teller machine, which only dispenses $100 bills. she estimates that this machine dispenses an average of 12,500 bills per month, and that carrying a bill in inventory costs 10 percent of its value annually. she knows that each order for these bills costs $300 for clerical and armored car delivery costs, and that order lead time is six days. assuming a 30-day month, at what point should bills be reordered?

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)? $