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Business, 22.06.2019 07:30
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)? $
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Business, 22.06.2019 10:30
The rybczynski theorem describes: (a) how commodity price changes influence real factor rewards (b) how commodity price changes influence relative factor rewards. (c) how changes in factor endowments cause changes in commodity outputs. (d) how trade leads to factor price equalization.
Answers: 1
Business, 23.06.2019 00:00
How do the percentages of the 65 customer satisfaction ratings in that actually fall into the intervals [formula62.mml ± s], [formula62.mml ± 2s], and [formula62.mml ± 3s] compare to those given by the empirical rule? do these comparisons indicate that the statistical inferences you made in parts b and c are reasonably valid? (round your answers to the nearest whole number. omit the "%" sign in your
Answers: 2
What is one important role consumers play in the interaction between producers and households...
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