g Thomas, a U. S. citizen, works only in Canada. The value of the output he produces is a. included in both U. S. GDP and U. S. GNP. b. included in U. S. GDP, but it is not included in U. S. GNP. c. included in U. S. GNP, but it is not included in U. S. GDP. d. included in neither U. S. GDP nor U. S. GNP.

Symantec corp., located in cupertino, california, is one of the world's largest producers of security and systems management software. the company's consolidated balance sheets for the 2009 and 2008 fiscal years included the following ($ in thousands): current assets: receivables, less allowances of $21,766 in 2009 and $24,089 in 2008 $ 838,010 $ 758,700 a disclosure note accompanying the financial statements reported the following ($ in thousands): year ended 2009 2008 (in thousands) trade accounts receivable, net: receivables $ 859,776 $ 782,789 less: allowance for doubtful accounts (8,938) (8,990) less: reserve for product returns (12,828) (15,099) trade accounts receivable, net: $ 838,010 $ 758,700 assume that the company reported bad debt expense in 2009 of $2,000 and had products returned for credit totaling $3,230 (sales price). net sales for 2009 were $6,174,800 (all numbers in thousands).required: what is the amount of accounts receivable due from customers at the end of 2009 and 2008? what amount of accounts receivable did symentec write off during 2009? what is the amount of symentec’s gross sales for the 2009 fiscal year? assuming that all sales are made on a credit basis, what is the amount of cash symentec collected from customers during the 2009 fiscal 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)? $

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]