correlation vs causation
Correlation vs. causation refers to the distinction between a relationship between two variables and the ability to establish a cause-and-effect relationship between them. Correlation describes a statistical relationship where changes in one variable tend to occur together with changes in another variable, without necessarily implying a direct link or causality. On the other hand, causation refers to the demonstration that one variable directly influences or causes changes in another variable.
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Related Concepts (24)
- association vs causation
- causal inference
- causal reasoning
- coincidence vs causal relationship
- confounding factors
- correlation bias
- correlation coefficient
- correlation matrix
- ecological fallacy
- experimental design
- mediation analysis
- multicollinearity
- observational studies
- post hoc fallacy
- randomized controlled trials
- regression analysis
- reverse causality
- simpson's paradox
- spurious correlation
- statistical fallacies
- statistical fallacy
- texas sharpshooter fallacy
- third variable
- time series analysis
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