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.