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Here's where you can apply the information in one of this chapter's tips and get a chance to predict a Super Bowl winner!

4. Here’s where you can apply the information in one of this chapter’s tips and get a chance to predict a Super Bowl winner! Joe Coach was curious to know if the average number of games won in a year predicts Super Bowl performance (win or lose). The X variable was the average number of games won during the past 10 seasons. The Y variable was whether the team ever won the Super Bowl during the past 10 season. Here are the data:

Team Average Number of Bowl? (1 = yes and 0 =
Wins Over 10 Years no)
Savannah Sharks 12 1
Pittsburgh Pelicans 11 0
Williamstown Warriors 15 0
Bennington Bruisers 12 1
Atlanta Angels 13 1
Trenton Terrors 16 0
Virginia Vipers 15 1
Charleston Crooners 9 0
Harrisburg Heathens 8 0
Eaton Energizers 12 1


a. How would you assess the usefulness of the average number of wins as a predictor of whether a team ever won a Super Bowl?

b. What’s the advantage of being able to use a categorical variable (such as 1 or 0) as a dependent variable?

c. What other variables might you use to predict the dependent variable, and why would you choose them?

5. Discuss the general idea that just because two things are correlated, it does not mean that one causes the other. Provide an example (other than ice cream and crime!).

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nad.xlsx

Team Average Number of Bowl? (1 = yes and 0 =
Wins Over 10 Years no)
Savannah Sharks 12 1
Pittsburgh Pelicans 11 0
Williamstown Warriors 15 0
Bennington Bruisers 12 1
Atlanta Angels 13 1
Trenton...

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