Simple Linear Regression
- Using mathematics to get a straight line of best fit
- Intuition of Hypothesis Testing & OLS Formula Part A
- Intuition of Hypothesis Testing & OLS Formula Part B
- Estimator Bias
- Causes of Bias
- Estimator Variance
- OLS Decomposition Derivation
- OLS Estimators are Unbiased Part A
- OLS Estimators are Unbiased Part B
- Gauss Markov Theorem & Assumptions Part A
- Gauss Markov Theorem & Assumptions Part B
- OLS Estimator Variance
Multiple Linear Regression
- Matrix Notation Part A
- Matrix Notation Part B
- Gauss-Markov Assumptions
- OLS is Unbiased
- OLS Estimator Variance
Hypothesis Testing
- Intuition of the Two Methods for Hypothesis Testing
- Notation
- RSS Method
- Wald Method
- Single Linear Restriction
Gauss-Markov assumptions not holding...
- Variable Misspecification Introduction
- Variable Misspecification Matrix Notation
- Variable Misspecification: Exclusion of a Relevant Variable
- Variable Misspecifcation: Inclusion of an Irrelevant Variable
- Multicollinearity
- Heteroskedasticity
Section 5: The End!
- Concluding comments
