Wilbur has been offered a job at a salary that would put him in the 24% marginal tax bracket. in addition to his salary, he would receive health insurance coverage. another potential employer does not offer health insurance but has agreed to match the first offer on an after-tax and insurance basis. the cost of health insurance comparable to that provided by the other potential employer is $9,000 per year. round your answer to the nearest dollar. wilbur will not be able to deduct the insurance as a medical expense because of the adjusted gross income floor and/or the standard deduction. how much more in salary must the second potential employer pay so that wilbur's financial status will be the same under both offers? $ 9,000

Accounts receivable arising from sales to customers amounted to $40,000 and $55,000 at the beginning and end of the year, respectively. income reported on the income statement for the year was $180,000. exclusive of the effect of other adjustments, the cash flows from operating activities to be reported on the statement of cash flows is

True or false: on january 1, year one, the epstein corporation buys a plot of land with a four-story office building. the company believes the building is worth $1.9 million and has an estimated life of twenty years (with no anticipated residual value). the straight-line method is used. the land has an assessed value of $100,000. because the seller was interested in a quick sale, epstein was able to buy this land and building for $1.7 million. depreciation expense to be recognized in year one is $80,750.

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)? $