Sam Scurry bought several hundred shares of annable at a price of $41.50 about 5 years ago that sell for $66.75 per share today. Sam pays capital gains tax at the rate of 24%, and pays tax on dividends at the rate of 31%. Suppose that annable elects not to pay a dividend this year, and that Sam sells 25 shares of stock. How much of the total amount of proceeds from the sale will Sam get to keep

The silverside company is considering investing in two alternative projects: project 1 project 2 investment $500,000 $240,000 useful life (years) 8 7 estimated annual net cash inflows for useful life $120,000 $40,000 residual value $32,000 $10,000 depreciation method straightminusline straightminusline required rate of return 11% 8% what is the accounting rate of return for project 2? (round any intermediary calculations to the nearest dollar, and round your final answer to the nearest hundredth of a percent, x.xx%.)

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)? $

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]