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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)? $

Describe how to write a main idea expressed as a bottom-line statement

This problem has been solved! see the answerwhich of the following statements is correct? the consumer price index is a measure of the overall level of prices, whereas the gdp deflator is not a measure of the overall level of prices. if, in the year 2011, the consumer price index has a value of 123.50, then the inflation rate for 2011 must be 23.50 percent. compared to the gdp deflator, the consumer price index is the more common gauge of inflation. the consumer price index and the gdp deflator reflect the goods and services bought by consumers equally well.