Compute net operating profit after tax selected balance sheet and income statement information for home depot follows. $ millions jan. 31, 2016 feb. 01, 2015 operating assets $40,333 $38,223 nonoperating assets 2,216 1,723 total assets 42,549 39,946 operating liabilities 14,918 13,427 nonoperating liabilities 21,315 17,197 total liabilities 36,233 30,624 total stockholders' equity 6,316 9,322 sales 88,519 net operating profit before tax (nopbt) 11,774 nonoperting expense before tax 753 tax expense 4,012 net income 7,009 compute net operating profit after tax for the year ended january 31, 2016. assume a statutory tax rate of 37%. round answer to the nearest whole number. $answer

Archangel manufacturing calculated a predetermined overhead allocation rate at the beginning of the year based on a percentage of direct labor costs. the production details for the year are given below. calculate the manufacturing overhead allocation rate for the year based on the above data. (round your final answer to two decimal places.) a) 42.42% b) 257.14% c) 235.71% d) 1, 206.90% archangel production details.

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]