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Linear regression

  • Assumptions for linear regression
  • Regression inference assuming predictors are fixed
  • Linear regression with random regressors, part 2
  • The robust sandwich variance estimator for linear regression (theory)
  • R squared and adjusted R squared
  • R squared and goodness of fit in linear regression
  • The robust sandwich variance estimator for linear regression (using R)
  • Interval regression with heteroskedastic errors
  • R squared/correlation depends on variance of predictor
  • The mean of residuals in linear regression is always zero

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