Interpret this correlation coefficient. What does this mean for the relationship between age and field goal percentage? Do players seem to make more shots or fewer shots as they get older? Was the claim that older players are more accurate correct? why or why not? PlayerJimmy ButlerBam AdebayoDuncan RobinsonTyler HerroKendrick NunnTrevor ArizaVictor OladipoKelly OlynykGoran DragićAndre IguodalaAvery BradleyNemanja BjelicaGabe VincentDewayne DedmonMax StrusKZ OkpalaPrecious AchiuwaMaurice HarklessMeyers LeonardChris SilvaUdonis HaslemData tableField Goal Percentage X49.75743.943.948.541.137.243.143.238.34743.537.870.845.537.554.438.542.969.2100Age Y312326212535282934373032243124212127282440

Given the data table containing Field Goal Percentage X and Age Y.

Interpret this correlation coefficient. What does this mean for the relationship between age and field goal percentage? Do players seem to make more shots or fewer shots as they get older? Was the claim that older players are more accurate correct? why or why not?

Interpret this correlation coefficient. What does this mean for the relationship between age and field goal percentage? Do players seem to make more shots or fewer shots as they get older? Was the claim that older players are more accurate correct? why or why not?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

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
29
34
37
30
32
24
31
24
21
21
27
28
24
40

Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.

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