1. 1 Econometrics 1 Lecture 1 Classical Linear Regression Analysis

2. 2 What is Econometrics ?

3. 3 Branches of Econometrics

4. 4 Econometric Methodology

5. 5

6. 6 Graphical Illustration of a Simple Linear Regression Model

7. 7 Minimisation of Error Sum Square

8. 8 Derivation of Normal Equations

9. 9 OLS Estimators

10. 10 An Example of OLS Estimation

11. 11 Estimates

12. 12 Interpretation and Prediction

13. 13 Prediction of Food Expenditure

14. 14 Use of regression estimates to calculate the elasticities

15. 15 Hints to get into the Shazam program in the Network

16. 16 How to Read Data in Shazam?

17. 17 Getting Around with Shazam

18. 18 A Simple Example of Shazam

19. 19 Simple Regression in matrix notation

20. 20 The estimators in terms of matrix notation