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Regression Analysis I & II: Course Outline Regression Analysis I

Support (or refute) an argument or point of view with quantitative information

Course Outline

  • Simple linear regression: Assumptions and least squares estimates.
  • General linear model: Least squares solution.
  • Test of hypotheses and confidence intervals about parameters.
  • Residual Analysis: Testing and dealing with heteroscedasticity and auto-correlation.
  • Estimation under Multicolinearity and Solutions to mulitcollinearity.
  • Introduction to dummy variables.

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