Lesson 10
Correlation vs causation
Big question
When does a relationship describe association, and when does it support cause and effect?
Lesson progress
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Big question
Concept
Activity
Quiz
Learning objectives
- Explain correlation vs causation in plain language.
- Use the main concept correctly.
- Connect the lesson idea to a formula, graph, Python result, or real example.
Simple explanation
When does a relationship describe association, and when does it support cause and effect?
Key terms
Example
When does a relationship describe association, and when does it support cause and effect?
Python walkthrough
Checkpoint activity
Pause and explain this lesson's main idea in your own words before moving forward.
Try it yourself
Write one plain-English sentence explaining the main idea from this lesson.
Common mistakes
Check these before you move on.
A regression coefficient describes a pattern unless the assumptions or research design support a causal interpretation.
Quick quiz
What is the main idea of Correlation vs causation?
Key takeaway
Use this lesson idea in a cautious, evidence-based regression interpretation.