During 2019 the barker company had a net income of $75,000. below is information taken from barker’s last two balance sheets: 2018 2019 accounts receivable (all current) 51,000 54,000 long-term accounts receivable 10,000 0 accounts payable (all current) 3,000 4,000 land 100,000 96,000 equipment 50,000 50,000 accumulated depreciation, equipment 3,500 5,000 common stock 4,200 12,200 additional information for 2019: 1. long-term notes receivable related to a loan barker made to another business entity in the amount of $10,000 were paid back in cash before maturity. 2. barker sold a piece of land at a $500 gain. no other land was purchased during the period. 3. dividends in the amount of $2,000 were paid during the year. what was the amount of cash provided by operating activities for 2019?

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)? $