Principal of Business

Suppose that kenji, an economist from an am talk radio program, and lucia, an economist from a school of industrial relations, are arguing over health insurance. the following dialogue shows an excerpt from their debate: lucia: a popular topic for debate among politicians as well as economists is the idea of providing government assistance for health benefits. kenji: i think it is oppressive for the government to tax people who take care of themselves in order to pay for health insurance for those who are obese. lucia: i disagree. i think government funding of health insurance is useful to ensure basic fairness. the disagreement between these economists is most likely due to . despite their differences, with which proposition are two economists chosen at random most likely to agree? lawyers make up an excessive percentage of elected officials. minimum wage laws do more to harm low-skilled workers than them. tariffs and import quotas generally reduce economic welfare.

Larissa has also provided the following information. during the year, the company raised $36 million in new long-term debt and retired $20.52 million in long-term debt. the company also sold $22 million in new stock and repurchased $32.4 million. the company purchased $54 million in fixed assets, and sold $6,107,400 in fixed assets. larissa has asked dan to prepare the financial statement of cash flows and the accounting statement of cash flows. she has also asked you to answer the following questions: 1. how would you describe east coast yachts' cash flows? 2. which cash flows statement more accurately describes the cash flows at the company? 3. in light of your previous answers, comment on larissa's expansion plans.

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)? $