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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)? $

The food services division of cedar river amusement park inc. is studying the amount families who visit the amusement park spend per day on food and drink. a sample of 40 families who visited the park yesterday revealed they spent the following amounts: see worksheet 1 for data and answer the following questions: a. organize the data into a frequency distribution, using seven classes and 15 as the lower limit of the first class. what class interval did you select? b. what percent of families spent less than $45? c. what percent of families spent $55 or more? d. how many families spent from $65 to 74.99?