Correlation and regression
The coefficient r, explained variance, the regression line and the difference between correlation and causation.
- 16 cards
- 6 topics
- Free
The outline, topic by topic
Each topic is weighted the way the exam weighs it.
- Concepts
- Sort and link
- The numbers
- The curves
- Scenarios
- Understand
A few cards from the deck
Correlation: what is it?
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A statistical link between two variables that vary together.
It does not say which causes the other.
The more members a club has, the more injuries it has. What can we conclude?
- Nothing about risk: the injury rate per member must be compared
- Big clubs expose their members to more injuries
- Injuries push people to join a club
- The number of members per club should be capped
Show the answer
Nothing about risk: the injury rate per member must be compared
More members means more people exposed: the number of injuries rises mechanically, and only a rate compares the risk.
Pearson's coefficient (r): what is it?
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A measure of the strength and direction of a linear link, from −1 to +1.
0 means no linear link, not necessarily no link at all.