Who is better Billie Eilish or the BTS

Abc computer company has a $20 million factory in silicon valley in which in builds computer components. during the current year, abc's costs are labor (wages) of $1.01.0 million; interest on debt of $0.20.2 million; and taxes of $0.20.2 million. abc sells all its output to xyz supercomputer for $2.62.6 million. using abc's components, xyz builds four supercomputers at a cost of $0.8500.850 million each, which comes from $0.6500.650 million worth of components, $0.10.1 million in labor costs, and $0.10.1 million in taxes per computer. xyz has a $30 million factory. xyz sells three of the supercomputers to other businesses for $1.81.8 million each. at year's end, it had not sold the fourth. the unsold computer is carried on xyz's books as a $0.8500.850 million increase in inventory.

The following information is available for jase company: market price per share of common stock $25.00 earnings per share on common stock $1.25 which of the following statements is correct? a. the price-earnings ratio is 20 and a share of common stock was selling for 20 times the amount of earnings per share at the end of the year. b. the market price per share and the earnings per share are not statistically related to each other. c. the price-earnings ratio is 5% and a share of common stock was selling for 5% more than the amount of earnings per share at the end of the year. d. the price-earnings ratio is 10 and a share of common stock was selling for 125 times the amount of earnings per share at the end of the year.

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)? $