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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Correlation

Statistics & Probability · Level 2 of 5

Correlation

A standardized measure of association between variables.

Pearson correlation measures linear association and does not establish causation.

Example

Two measurements move together even though neither causes the other.

Listen to the definition and example

Audio transcript

Correlation. A standardized measure of association between variables. Pearson correlation measures linear association and does not establish causation. For example: Two measurements move together even though neither causes the other.

Explore this concept

A useful analogy

Two clocks moving together do not tell you which one controls the other.

Why it matters

This helps you interpret numerical evidence without overstating what it establishes.

Technical detail

Pearson r = cov(X,Y)/(σ_X σ_Y), where both standard deviations are nonzero. It captures linear association.

Common misconception

Correlation alone does not establish a causal effect.

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Related concepts

Quick recall question

Try answering before looking back at the definition.

Put the terminology into context: How AI works · Machine-native representations · All learning paths

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