how many workers would the coal company want to hire if the price of coal were competitively priced at $5 per ton and the wage rate were $40 per day?

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)? $

Engberg company installs lawn sod in home yards. the company’s most recent monthly contribution format income statement follows: amount percent of sales sales $ 80,000 100% variable expenses 32,000 40% contribution margin 48,000 60% fixed expenses 38,000 net operating income $ 10,000 required: 1. compute the company’s degree of operating leverage. (round your answer to 1 decimal place.) 2. using the degree of operating leverage, estimate the impact on net operating income of a 5% increase in sales. (do not round intermediate calculations.) 3. construct a new contribution format income statement for the company assuming a 5% increase in sales.

Consider a consumer who is contemplating a new automobile purchase. she has narrowed her decision down to two brands, honda accord and ford taurus. she has identified gas mileage, price, warranty, and styling to be important attributes to consider in her decision