Once the bal has peaked and started to go down, people who have been drinking believe they are much more than they really are.

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)? $

Two products, qi and vh, emerge from a joint process. product qi has been allocated $34,300 of the total joint costs of $55,000. a total of 2,900 units of product qi are produced from the joint process. product qi can be sold at the split-off point for $11 per unit, or it can be processed further for an additional total cost of $10,900 and then sold for $13 per unit. if product qi is processed further and sold, what would be the financial advantage (disadvantage) for the company compared with sale in its unprocessed form directly after the split-off point?

What could cause a production possibilities curve to move down and to the left? a.) a nation loses land after being defeated in a war. b.) an increase in the use of computer technology speeds up production c.) a baby boom 20 years ago results in a large number of young adults in the population today. d.) thousands of investors from overseas invest money in a nations economy.