What is another possible explanation for this correlational relationship?  Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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What is another possible explanation for this correlational relationship?  Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).

Player
Jimmy Butler
Bam Adebayo
Duncan Robinson
Tyler Herro
Kendrick Nunn
Trevor Ariza
Victor Oladipo
Kelly Olynyk
Goran Dragić
Andre Iguodala
Avery Bradley
Nemanja Bjelica
Gabe Vincent
Dewayne Dedmon
Max Strus
KZ Okpala
Precious Achiuwa
Maurice Harkless
Meyers Leonard
Chris Silva
Udonis Haslem
Data table
Field Goal Percentage X
49.7
57
43.9
43.9
48.5
41.1
37.2
43.1
43.2
38.3
47
43.5
37.8
70.8
45.5
37.5
54.4
38.5
42.9
69.2
100
Age Y
31
23
26
21
25
35
28
W WN N
29
34
37
30
W NW W
32
24
31
24
21
NNN
21
27
28
24
40
Transcribed Image Text:Player Jimmy Butler Bam Adebayo Duncan Robinson Tyler Herro Kendrick Nunn Trevor Ariza Victor Oladipo Kelly Olynyk Goran Dragić Andre Iguodala Avery Bradley Nemanja Bjelica Gabe Vincent Dewayne Dedmon Max Strus KZ Okpala Precious Achiuwa Maurice Harkless Meyers Leonard Chris Silva Udonis Haslem Data table Field Goal Percentage X 49.7 57 43.9 43.9 48.5 41.1 37.2 43.1 43.2 38.3 47 43.5 37.8 70.8 45.5 37.5 54.4 38.5 42.9 69.2 100 Age Y 31 23 26 21 25 35 28 W WN N 29 34 37 30 W NW W 32 24 31 24 21 NNN 21 27 28 24 40
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