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Evaluating a statistic study

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Your consulting company was hired by a sports league office to build a model that related attendance over a season for their teams to all the various factors that affect attendance. They wanted to use this model to evaluate expansion opportunities, to see whether the cities being proposed were likely to support good attendance. You try a large number of different regression models with various subsets of 60 or 70 potential independent variables, and find that, no matter what you do, only two independent variables are significant -- the number of games out of first place the team finished last year, and the size of the metropolitan area in which the team is situated. The R-squared is not great -- right at .50.

Was this study just a failure? Why or why not?

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The expert examines evaluating a statistics study.

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The study did provide some useful information. It told you that a lot of the variables you thought were important were in fact ...

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