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Algebra Data and statistics

Correlation

19 practice questions 2 video lessons Theory + worked examples
Practice 19 questions
Practice questions

Every question with a fully worked solution.

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  • The (Pearson) Correlation Coefficient Explained in One Minute: From Definition to Formula + Examples Watch
  • The Correlation Coefficient - Explained in Three Steps Watch
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Theory

Correlation describes how two variables move together:
  • Positive: both increase together.
  • Negative: one increases as the other decreases.
  • None: no clear pattern.
Strength is how closely the points follow a line.
Types of correlation Correlation can be positive, negative, or none. positive negative none
Positive, negative, and no correlation.
Correlation Correlation Correlation positive: both rise together negative: one rises, one falls none: no clear pattern strength: how close to a line
Describing correlation.

Direction and strength:

\[\text{direction: } \pm,\qquad \text{strength: tightness of the cluster}\]
correlation has a direction and a strength
Correlation is not causation.

How to describe correlation

  1. Look at the overall direction of the points.
  2. Rising: positive; falling: negative.
  3. Judge how tightly they cluster for strength.
  4. No pattern means no correlation.
Example 1 β€” Positive
Hours studied vs test score usually shows what correlation?
Solution

More study, higher score β€” positive.

positive correlation
Example 2 β€” Negative
Temperature vs hot-chocolate sales shows what correlation?
Solution

Warmer weather, fewer sales β€” negative.

negative correlation
Example 3 β€” Strength
What does a tight, near-linear cluster indicate?
Solution

A strong correlation.

a strong correlation
Example 4 β€” No correlation
Shoe size vs test score usually shows what?
Solution

No correlation β€” unrelated variables.

no correlation

Common pitfalls

Correlation does not imply causation.
Direction and strength are separate ideas.
Outliers can weaken apparent correlation.

Frequently asked questions

What is correlation?

How two variables move together β€” direction and strength.

What is positive correlation?

Both variables increase together.

What is negative correlation?

One increases as the other decreases.

Does correlation prove causation?

No.