1. Title Names

2. Hypothesis NBA players with higher points per game average earn more money Positive correlation As average points per game increase money earned also increases

3. Data Domain (x) points per game Range [f(x) ] money earned x f(x)

5. Graph & Correlation Correlation r=.25

6. Conclusion Our correlation coefficient is.25 which is a weak positive correlation Our correlation does not mean that average points per game actually affects salary in NBA but that there is a slightly positive correlation One possible lurking variable is that players with high assists are also valued in the nba like Chris Paul or Stephen Curry

7. Conclusion 2 http://www.forbes.com/sites/tomvanriper/2013/04/05/the-nbas- most-overpaid-players/ There is a Forbes.com article on the most nba players which is a similar topic to our hypothesis in that the article was also analyzing whether or not players were actually worth their salary based on their statistics overall. For example Carmelo Anthony is the top of the most overpaid list because Kevin Durant is more efficient with his shots at 50.5% from the floor and Kevin gets paid 2.7 million less than Carmelo. (this part is summarized verbally) include bullet points for powerpoint like Article looked at points per game, shooting %, assists and rebounds Compared Anthony Carmelo and Kevin Durant and why Kevin is more efficient