In: Math
Perform a linear correlation study on the highest paid basketball players for the 2018-19 season. What is the correlation between the average points they score per game and their salary?
| 
 Players  | 
 Points (x)  | 
 Pay ( Million) (y)  | 
| 
 Stephen Curry  | 
 27.3  | 
 37.5  | 
| 
 LeBron James  | 
 27.4  | 
 35.6  | 
| 
 Chris Paul  | 
 15.6  | 
 35.6  | 
| 
 Russell Westbrook  | 
 22.9  | 
 35.6  | 
| 
 Blake Griffin  | 
 24.5  | 
 32.1  | 
| 
 Gordon Hayward  | 
 11.5  | 
 31.2  | 
| 
 Kyle Lowry  | 
 14.2  | 
 31.2  | 
| 
 Paul George  | 
 28.0  | 
 30.6  | 
| 
 Mike Conley  | 
 21.1  | 
 30.5  | 
| 
 James Harden  | 
 36.1  | 
 30.4  | 
| 
 Kevin Durant  | 
 26  | 
 30.0  | 
| 
 Paul Millsap  | 
 12.6  | 
 29.2  | 
| 
 Al Horford  | 
 13.6  | 
 28.9  | 
| 
 Damien Lilard  | 
 25.8  | 
 28.0  | 
| 
 DeMar DeRozan  | 
 21.2  | 
 27.7  | 
| 
 Otto Parker  | 
 13.9  | 
 26.0  | 
| 
 Jrue Holiday  | 
 21.2  | 
 26.0  | 
| 
 C.J. McCollum  | 
 21.0  | 
 25.7  | 
| 
 Joel Embiid  | 
 27.5  | 
 25.5  | 
| 
 Andrew Wiggins  | 
 18.1  | 
 25.5  | 
1) what is the linear regression equation and line and interpret the slope and y-intercept
2) Find the correlation coefficient of the data and interpret the correlation coefficient
3) Summarize the statistical results
3.

From AVOVA table we see that p-value is very large >0.05, so x and y are not linearly related.