Answers: 3
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 15:10, emilypzamora11
On december 31, 2013, coronado company issues 173,000 stock-appreciation rights to its officers entitling them to receive cash for the difference between the market price of its stock and a pre-established price of $10. the fair value of the sars is estimated to be $5 per sar on december 31, 2014; $2 on december 31, 2015; $10 on december 31, 2016; and $8 on december 31, 2017. the service period is 4 years, and the exercise period is 7 years. prepare a schedule that shows the amount of compensation expense allocable to each year affected by the stock-appreciation rights plan.
Answers: 2
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