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Bar-Chart

Chapter 6 - Measurement & evaluation of human performance

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Flexed Biceps

Chapter 1 - Musculoskeletal Anatomy

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Woman Lifting Weights

Chapter 2 - Cardio-Respiratory Exercise Physiology

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Peanuts

Chapter 3 - Nutrition & Energy Systems

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Chart Increasing

Chapter 4 - Movement Analysis

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Trophy

Chapter 5 - Skill In Sport

Chapter 7 - Training to optimize physiological performance

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Globe Showing Europe Africa

Chapter 8 - Environmental Factors & Performance

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Pill

Chapter 9 - Non-Nutritional Ergogenic Aids

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Chapter 10 - Individual Differences In Sport

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Fire

Chapter 11 - Motivation In Sport & Exercise

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Grimacing Face

Chapter 12 - Arousal, Anxiety & Performance

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Brain

Chapter 13 - Psychological Skills Training

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Downcast Face with Sweat

Chapter 14 - Overtraining, Stress & Burnout In Adolescent Athletes

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Stethoscope

Chapter 15 - Physical Activity & Health

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Red Apple

Chapter 16 - Nutrition For Sport & Exercise

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Chart Decreasing

Chapter 17 - Internal Assessment & Practical Work

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Writing Hand

Chapter 18 - Perparing For Your Exams 

Have you ever wondered if two things have a sort of relationship, like, &quot;Do older athletes run the 5000 meters faster than younger ones?&quot; 🤔 Well, here&#39;s how we can find out!

<ul>
	<li>Correlation: Tells if two things might be related (but doesn&#39;t say one causes the other!)</li>
	<li>Coefficient of Determination (r^2): A fancy way to see HOW MUCH they&#39;re related. It&#39;s like asking, &quot;Out of 100%, how much do these two things have in common?&quot;</li>
</ul>

Imagine two athletes: Tom, who&#39;s good at long jumps, and Jerry, who rocks at vertical jumps. If there&#39;s a correlation of 0.70 between their scores, the r^2 value is 0.70 * 0.70 = 0.49.

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Fun Fact: This 0.49 (or 49% when you multiply by 100) means that almost HALF of the reason Tom is good at long jumps could be related to why Jerry is ace at vertical jumps! 🤸

&nbsp;

Real-World Example: Let&#39;s say we find out there&#39;s an 80% (r^2) overlap between people who love pizza and people who love watching movies. But does this mean eating pizza makes you want to watch movies? Nope! It just means the two likes often go together. 🍕🎬

&nbsp;

💡 Important Takeaway: Just because two things are related doesn&#39;t mean one causes the other. Our athletes&#39; ages and their 5000-meter times might be related, but age doesn&rsquo;t necessarily make someone faster. It&rsquo;s like saying just because superheroes wear capes, capes make you a superhero. Fun thought, but not quite right! 🦸🚫

&nbsp;

Study Challenge: Can you think of two things in your life that might have a correlation, but one doesn&rsquo;t cause the other? Discuss with friends or think about it next time you&rsquo;re looking for patterns in the world around you!

&nbsp;

Happy Studying! 🌟📖🌟

Unlock The Power Of Coefficient Of Determination (R²) In Sports Analytics

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Higher Level

Sports, Exercise & Health Science HL

Chapter 6 - Measurement & evaluation of human performance

Unlock The Power Of Coefficient Of Determination (R²) In Sports Analytics

Table of content

Let's talk correlation 🎈

Key terms to impress your friends with 🎯

Unlock the Full Content!

Chapter 6 - Measurement & evaluation of human performance

Unlock The Power Of Coefficient Of Determination (R²) In Sports Analytics

Table of content

Let's talk correlation 🎈

Key terms to impress your friends with 🎯

Unlock the Full Content!