Econometrics - Chapter 3 Gujarati : Two Variable Regression with Hypothesis Testing - 2020

In this video, I have gone through Chapter 3 of D.N. Gujarati's - Essentials of Econometrics. This Chapter builds on our previous discussion hypothesis testing and we apply it to two variable OLS estimators.

The following topics have been covered here:
1. Assumptions of the Classical linear Regression Model (CLRM)
2. Standard Error of OLS Estimators (Proof in Class Notes)
3. BLUE property of OLS estimators (Proof in Class Notes)
4. Sampling Distribution of OLS estimators & the Importance of Normality of Error Term (Applying CLT)
5. Hypothesis Testing : CI Approach & Test of Significance approach
6. Goodness of Fit: Coefficient of Determination: R Square
7. Normality Tests for Error Terms
8. Forecasting Error & CI for SRF

This chapters forms the cornerstone for your journey in econometrics, I request you to go through it diligently for building a strong foundation.
This id useful for Delhi University Students of Economics Hons. Sem IV as well BBE Semester IV students. Also it would help students preparing for Entrance Exams like UGC NET, IES, & MBA interviews.

My Best Wishes & Happy Learning:)
The Pink Professor
(Siddharth Rathore)
Assistant Professor
Department of Economics
Gargi College
University of Delhi