Afactory produces gadgets that have two key parts. the factory can employ workers to attach those parts, or it can employ robotic machines to attach them. in this case, the labor and capital are considered:

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)? $

Hank itzek manufactures and sells homemade wine, and he wants to develop a standard cost per gallon. the following are required for production of a 70-gallon batch. 2,700 ounces of grape concentrate at $0.04 per ounce 77 pounds of granulated sugar at $0.43 per pound 133 lemons at $0.79 each 350 yeast tablets at $0.24 each 350 nutrient tablets at $0.14 each 2,500 ounces of water at $0.001 per ounce hank estimates that 4% of the grape concentrate is wasted, 9% of the sugar is lost, and 32% of the lemons cannot be used. compute the standard cost of the ingredients for one gallon of wine. (round intermediate calculations and final answer to 2 decimal places, e.g.

The average month end closing stock price for company a over the past year is $34.57 with a standard deviation of $4.65. the average month end closing stock price for company b over the same period is $26.15 with a standard deviation of $7.45. based on this data, we can conclude that the stock price for company a is more consistent when compared to the stock price for company b.