Fuchsia, Inc. provides automobile repair services in the local community. The company provides the following information for the month of March: Building Rent Expense $5,200 Depreciation Expenselong dashEquipment 1,600 Supplies Expense 8,000 Utilities Expense 2,350 Fuchsia provided services to 1,600 clients in the month of March and generated $23,500 as revenue. How much is the cost per service?

Suppose that hubert, an economist from an am talk radio program, and kate, an economist from a nonprofit organization on the west coast, are arguing over government bailouts. the following dialogue shows an excerpt from their debate: kate: to recent financial crises, the concept of bailouts is a hot topic for debate among everyone these days. hubert: indeed, it’s gotten crazy! a government bailout of severely distressed financial firms is unnecessary because free markets will properly price assets. kate: i don’t know about that. without a bailout of severely distressed financial firms, the economy will experience a deep recession. the disagreement between these economists is most likely due todifferences in scientific judgments . despite their differences, with which proposition are two economists chosen at random most likely to agree? business managers can raise profit more easily by reducing costs than by raising revenue. central banks should focus more on maintaining low unemployment than on maintaining low inflation. employers should not be restricted from outsourcing work to foreign nations

Select all that apply. what do opponents of minimum wage believe are the results of minimum wage? increases personal income results in job shortages causes unemployment raises prices of goods

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)? $