A firm is weighing three capacity alternatives: small, medium, and large job shop. Whatever capacity choice is made, the market demand for the firm's product can be "moderate" or "strong." The probability of moderate market demand is estimated to be 0.4; the probability of strong market demand is estimated to be 0.6. The anticipated profits are as follows: a. Small job shop: moderate market demand = $24,000; strong market demand = $54,000. b. Medium job shop: moderate market demand = $20,000; strong market demand = $64,000. c. Large job shop: moderate market demand = -$2,000; strong market demand = $96,000. Referring to Scenario 3 above, your director wants to increase the probability of moderate market demand to 0.5, without changing any other probabilities (i. e., he wants to keep the probability of strong market demand at 0.6). What should you do?

Companies in the u.s. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. in 2011 hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. the following data show the number of cars in service (1000s) and the annual revenue ($ millions) for six smaller car rental companies (auto rental news website, august 7, 2012). excel file: data14-09.xls if required, enter negative values as negative numbers. a. select a scatter diagram with the number of cars in service as the independent variable. b. what does the scatter diagram developed in part (a) indicate about the relationship between the two variables? c. use the least squares method to develop the estimated regression equation (to 3 decimals). ŷ = + x d. for every additional car placed in service, estimate how much annual revenue will change. by $ e. fox rent a car has 11,000 cars in service. use the estimated regression equation developed in part (c) to predict annual revenue for fox rent a car. round your answer to nearest whole value. $ million hide feedback partially correct