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# Regression Analysis

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Sporty Inc., a regional chain of sporting goods stores, wants to investigate why some of their stores in university towns have higher sales than other stores. Accordingly, they randomly sampled stores nationwide and collected information on yearly sales (\$1000s), yearly advertising expenditures (\$1000s), number of students at the university, and distance from the university (miles) (see attached data).

Explain in managerial terms how the above variables impact sales.

How much of the variation in sales can you explain?

What recommendations would you make to Three Guys, Inc.?

Three Guys, Inc. is considering opening a store 15 miles from a university that has 12,000 students, and plans to spend \$2,000/month on advertising. What level of annual sales should they expect?

Three Guys, Inc. is also considering opening a store two miles from a university that has 4,500 students, and plans to spend \$250/month on advertising. What level of annual sales should they expect?

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#### Solution Summary

This solution looks at how regression analysis can be used to make managerial recommendations.

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