Rick, a computer consultant, owns a separate business (not real estate) in which he participates. He has one employee who works part-time in the business. a. If Rick participates for 550 hours and the employee participates for 2,000 hours during the year, Rick qualifies as a material participant. b. If Rick participates for 500 hours and the employee participates for 620 hours during the year, Rick qualifies as a material participant. c. If Rick participates for 120 hours and the employee participates for 120 hours during the year, Rick does not qualify as a material participant. d. If Rick participates for 95 hours and the employee participates for 5 hours during the year, Rick probably does not qualify as a material participant. e. None of these choices applies here.\

1. the political environment in india has proven to be critical to company performance for both pepsico and coca-cola india. what specific aspects of the political environment have played key roles? could these effects have been anticipated prior to market entry? if not, could developments in the political arena have been handled better by each company? 2. timing of entry into the indian market brought different results for pepsico and coca-cola india. what benefits or disadvantages accrued as a result of earlier or later market entry? 3. the indian market is enormous in terms of population and geography. how have the two companies responded to the sheer scale of operations in india in terms of product policies, promotional activities, pricing policies, and distribution arrangements? 4. “global localization” (glocalization) is a policy that both companies have implemented successfully. give examples for each company from the case.

Suppose that in an economy the structural unemployment rate is 2.2 percent, the natural unemployment rate is 5.3 percent, and the cyclical unemployment rate is 2 percent. the frictional unemployment rate is percent and the actual unemployment rate (in this economy) is percent.

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.