The amount of money that would be accumulated in 10 years from an initial investment of $1000 at an interest rate of 8% per year is closest to:

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)? $

Martha is one producer in the perfectly competitive jelly industry. last year, martha and all of her competitors found themselves earning economic profits. if there is free entry and exit, what do you expect to happen to the number of suppliers in the industry and the price of jelly? the number of suppliers will increase, and the price of jelly will fall. the number of suppliers will decrease, and the price of jelly will increase. the number of suppliers will increase, and the price of jelly will increase. the number of suppliers will decrease, and the price of jelly will fall.

Considered to be a "super tool" or tool that has high use and high potential for improving project success?