cm018 - November 29, 2018
Overview
- Define ordinary least squares (OLS) estimation
- Identify why OLS estimator is the best linear unbiased estimator
- Explain how to calculate OLS using matrix algebra, minimizing the sum of the squared error, and maximizing the likelihood
- Identify core assumptions of OLS
- Summarize diagnostic tests to validate whether assumptions are met
Before class
Slides and class materials
What you need to do
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