Answers: 1
Business, 22.06.2019 07:30, suyi14
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)? $
Answers: 1
Business, 22.06.2019 11:20, jaideeplalli302
You decided to charge $100 for your new computer game, but people are not buying it. what could you do to encourage people to buy your game?
Answers: 1
Business, 22.06.2019 19:00, FoxGirl1971
1. regarding general guidelines for the preparation of successful soups, which of the following statements is true? a. thick soups made with starchy vegetables may thin during storage. b. soups should be seasoned throughout the cooking process. c. finish a cream soup well before serving it to moderate the flavor. d. consommés take quite a long time to cool.
Answers: 2
Business, 22.06.2019 21:30, lekylawhite16
Abond purchased for $950 was sold for $980 after one year. the interest received during the year is $25. the bond's yield is:
Answers: 1
How do flexible expenses differ from fixed expenses?...
Mathematics, 16.07.2019 09:00
Mathematics, 16.07.2019 09:00
Mathematics, 16.07.2019 09:00
Mathematics, 16.07.2019 09:00