15 pts) in each of the following cases, a city is given together with an event that willaffect the city’s labor market. for each case, discuss whether the event will affect labordemand or labor supply and explain why. how does the event affect the equilibriumwage and employment level in the city? (a) (5 pts)city: a "motor city" where most people work in the automobile manu-facturing industry. event: petroleum-exporting countries agreed to cut crude oil production, whichhas increased gasoline price substantially all over the world.(b) (5 pts)city: a "furniture city" where most people work in the home furnituremanufacturing industry. event: the number of new homes sold has reached a record high for two consec-utive years during a housing market boom.(c) (5 pts)city: a "smog city" that is most infamous for its air pollution. event: the federal government has committed billions of dollars to clean up theair in the smog city, which won’t cost the city a penny.

Which of the following best describes how the federal reserve bank banks during a bank run? a. the federal reserve bank has the power to take over a private bank if customers demand too many withdrawals. b. the federal reserve bank can provide a short-term loan to banks to prevent them from running out of money. c. the federal reserve bank regulates exchanges to prevent the demand for withdrawals from rising above the required reserve ratio. d. the federal reserve bank acts as an insurance company that pays customers if their bank fails. 2b2t

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)? $

Which ranks these careers that employers are most likely to hire from the least to the greatest?