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 12:00, DeathFightervx
Need today! will get brainliest for right answer! compare and contrast absolute advantage and comparative advantage.
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Business, 22.06.2019 16:30, natalie2sheffield
En major recording acts are able to play at the stadium. if the average profit margin for a concert is $175,000, how much would the stadium clear for all of these events combined?
Answers: 3
Business, 23.06.2019 11:10, elysabrina6697
If canada has a surplus of paper products produced but its consumers demand more cleaning solutions, and the us has an abundance of cleaning solutions but consumers are demanding more paper products, how would trade benefit both countries? trade would assist both countries by creating excess demand. trade would assist both countries by strengthening their natural resources. trade would assist both countries to both reduce excess supply and satisfy market demand.
Answers: 3
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