Linear Models
Linear and logistic regression, coefficient interpretation, and multicollinearity.
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Linear Models
4 lessons · Read before practicing
Linear regression (OLS, assumptions)
- 1OLS DefinitionEasy
- 2Core OLS AssumptionsEasy
- 3Gauss-Markov and BLUEEasy
- 4Perfect Multicollinearity in OLSMed
- 5Interpreting R-SquaredMed
- 6Consequences of HeteroscedasticityMed
- 7R-Squared and Irrelevant FeaturesMed
- 8Detecting Nonlinearity in RegressionMed
- 9Omitted Interaction Terms in RegressionHard
- 10OLS Sensitivity to OutliersHard