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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 22 27 224 28 40

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 22 27 224 28 40

MATLAB: An Introduction with Applications
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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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?).

**Data Table: Player Statistics** | Player | Field Goal Percentage (X) | Age (Y) | |-------------------|---------------------------|---------| | Jimmy Butler | 49.7 | 31 | | Bam Adebayo | 57 | 23 | | Duncan Robinson | 43.9 | 26 | | Tyler Herro | 43.9 | 21 | | Kendrick Nunn | 48.5 | 25 | | Trevor Ariza | 41.1 | 35 | | Victor Oladipo | 37.2 | 28 | | Kelly Olynyk | 43.1 | 29 | | Goran Dragić | 43.2 | 34 | | Andre Iguodala | 38.3 | 37 | | Avery Bradley | 47 | 30 | | Nemanja Bjelica | 43.5 | 32 | | Gabe Vincent | 37.8 | 24 | | Dewayne Dedmon | 70.8 | 31 | | Max Strus | 45.5 | 24 | | KZ Okpala | 37.5 | 21 | | Precious Achiuwa | 54.4 | 21 | | Maurice Harkless | 38.5 | 27 | | Meyers Leonard | 42.9 | 28 | | Chris Silva | 69.2 | 24 | | Udonis Haslem | 100 | 40 | **Explanation:** This table presents data on various basketball players, listing their field goal percentages and ages. Each player is identified by their name, with two corresponding data columns: 1. **Field Goal Percentage (X):** This column indicates the player's shooting accuracy, represented as a percentage of successful shots made from the field. 2. **Age (Y):** This column shows the player's age, which might influence performance and experience. The table can be used for analyzing correlations between shooting accuracy and age among these players. Note that "Udonis Haslem" has a field goal percentage listed as 100, which may be an
Transcribed Image Text:**Data Table: Player Statistics** | Player | Field Goal Percentage (X) | Age (Y) | |-------------------|---------------------------|---------| | Jimmy Butler | 49.7 | 31 | | Bam Adebayo | 57 | 23 | | Duncan Robinson | 43.9 | 26 | | Tyler Herro | 43.9 | 21 | | Kendrick Nunn | 48.5 | 25 | | Trevor Ariza | 41.1 | 35 | | Victor Oladipo | 37.2 | 28 | | Kelly Olynyk | 43.1 | 29 | | Goran Dragić | 43.2 | 34 | | Andre Iguodala | 38.3 | 37 | | Avery Bradley | 47 | 30 | | Nemanja Bjelica | 43.5 | 32 | | Gabe Vincent | 37.8 | 24 | | Dewayne Dedmon | 70.8 | 31 | | Max Strus | 45.5 | 24 | | KZ Okpala | 37.5 | 21 | | Precious Achiuwa | 54.4 | 21 | | Maurice Harkless | 38.5 | 27 | | Meyers Leonard | 42.9 | 28 | | Chris Silva | 69.2 | 24 | | Udonis Haslem | 100 | 40 | **Explanation:** This table presents data on various basketball players, listing their field goal percentages and ages. Each player is identified by their name, with two corresponding data columns: 1. **Field Goal Percentage (X):** This column indicates the player's shooting accuracy, represented as a percentage of successful shots made from the field. 2. **Age (Y):** This column shows the player's age, which might influence performance and experience. The table can be used for analyzing correlations between shooting accuracy and age among these players. Note that "Udonis Haslem" has a field goal percentage listed as 100, which may be an
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