Fiscal policy is usually intended to influence aggregate demand (AD) rather than short- or long-run aggregate supply (SRAS and LRAS, respectively).

On january 1, 2017, fisher corporation purchased 40 percent (90,000 shares) of the common stock of bowden, inc. for $980,000 in cash and began to use the equity method for the investment. the price paid represented a $48,000 payment in excess of the book value of fisher's share of bowden's underlying net assets. fisher was willing to make this extra payment because of a recently developed patent held by bowden with a 15-year remaining life. all other assets were considered appropriately valued on bowden's books. bowden declares and pays a $90,000 cash dividend to its stockholders each year on september 15. bowden reported net income of $400,000 in 2017 and $348,000 in 2018. each income figure was earned evenly throughout its respective year. on july 1, 2018, fisher sold 10 percent (22,500 shares) of bowden's outstanding shares for $338,000 in cash. although it sold this interest, fisher maintained the ability to significantly influence bowden's decision-making process. prepare the journal entries for fisher for the years of 2017 and 2018. (if no entry is required for a transaction/event, select "no journal entry required" in the first account field. do not round intermediate calculations. round your final answers to the nearest whole dollar.)

Excel allows you to take a lot of data and organize it in one document. what are some of the features you can use to clarify, emphasize, and differentiate your data?

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)? $