Summary
Chapters
Video Info
Professor Ben Goodrich discusses regression models in quantitative research. He demonstrates how to tell when an ordinary least squares regression estimator has been violated and how to navigate around violations to get better estimates.
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Chapter 1: What are the Assumptions of the Ordinary Least Squares Estimator?
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Chapter 2: Outliers & High-Leverage Points
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Chapter 3: Graphical Diagnostics to Test Assumptions of the OLS Estimator
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Chapter 4: Statistical Tests to Assess Assumptions
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Chapter 5: Alternative Estimators
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Chapter 6: Conclusion
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