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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)? $

When the national economy goes from bad to better, market research shows changes in the sales at various types of restaurants. projected 2011 sales at quick-service restaurants are $164.8 billion, which was 3% better than in 2010. projected 2011 sales at full-service restaurants are $184.2 billion, which was 1.2% better than in 2010. how will the dollar growth in quick-service restaurants sales compared to the dollar growth for full-service places?

Aprice control is: question 1 options: a)a tax on the sale of a good that controls the market price.b)an upper limit on the quantity of some good that can be bought or sold.c)a legal restriction on how high or low a price in a market may go.d)control of the price of a good by the firm that produces it.