Bivariate Data and Linear Models
Students investigate associations between two variables, fit and interpret linear models, and reason about correlation versus causation.
About This Topic
Students investigate associations between two variables, fit and interpret linear models, and reason about correlation versus causation.
Key Questions
- How strong does an association have to be before we trust a model built on it?
- Which transformations turn non-linear relationships into linear ones?
- Why is correlation never enough on its own to claim a cause?
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