1. CHAPTER 6: EXTENSIONS OF THE TWO-VARIABLE LINEAR REGRESSION MODEL
ECONOMETRICS I
CHAPTER 6: EXTENSIONS OF THE TWO-VARIABLE LINEAR REGRESSION MODEL
Textbook: Damodar N. Gujarati (2004) Basic Econometrics, 4th edition, The McGraw-Hill Companies

2. 6.1 REGRESSION THROUGH THE ORIGIN

3. 6.1 REGRESSION THROUGH THE ORIGIN

4. 6.1 REGRESSION THROUGH THE ORIGIN

5. 6.1 REGRESSION THROUGH THE ORIGIN

6. 6.1 REGRESSION THROUGH THE ORIGIN

7. 6.1 REGRESSION THROUGH THE ORIGIN

8. 6.1 REGRESSION THROUGH THE ORIGIN
Homework:
Calculate , , and raw r2, and draw the estimated regression line. Y X 14 4 22 6 24 7 60 10 5 3

9. 6.2 SCALING AND UNITS OF MEASUREMENT
To grasp the ideas developed in this section, consider the data given in Table 6.2, which refers to U.S. gross private domestic investment (GPDI) and gross domestic product (GDP), in billions as well as millions of (chained) 1992 dollars.

10. 6.2 SCALING AND UNITS OF MEASUREMENT

11. 6.2 SCALING AND UNITS OF MEASUREMENT

12. 6.2 SCALING AND UNITS OF MEASUREMENT

13. 6.2 SCALING AND UNITS OF MEASUREMENT

14. 6.2 SCALING AND UNITS OF MEASUREMENT

15. 6.4 FUNCTIONAL FORMS OF REGRESSION MODELS

16. 6.5 HOW TO MEASURE ELASTICITY: THE LOG-LINEAR MODEL

17. 6.5 HOW TO MEASURE ELASTICITY: THE LOG-LINEAR MODEL

18. 6.5 HOW TO MEASURE ELASTICITY: THE LOG-LINEAR MODEL

19. 6.6 SEMILOG MODELS LOG–LIN MODEL
Compound interest formula:

20. LOG–LIN MODEL

21. LIN-LOG MODEL

22. LIN-LOG MODEL

23. 6.7 RECIPROCAL MODELS

24. 6.7 RECIPROCAL MODELS

25. 6.7 RECIPROCAL MODELS

26. THE SLOPE AND ELASTICITY COEFFICIENTS OF THE VARIOUS MODELS