1. DEFINITIONS AND SCOPE OF ECONOMETRICS
2. CORRELATION
3. REGRESSION
4. BASIC CONCEPTS IN SIMPLE (TWO–VARIABLE) REGRESSION ANALYSIS (SLRM)
5. ASSUMPTIONS OF THE CLASSICAL LINEAR REGRESSION MODEL (CLRM)
6. ESTABLISHING THE CRITERIA FOR JUDGING THE GOODNESS OF THE PARAMETER ESTIMATES
7. TESTS OF SIGNIFICANCE OF THE PARAMETER ESTIMATES AND GAUSSMARKOV THEOREM
8. FUNCTIONAL FORM SPECIFICATIONS OF (LINEAR) REGRESSION MODEL
9. MULTIPLE LINEAR REGRESSION MODEL (MLRM)
10. RELAXING THE ASSUMPTIONS OF CLRM
11. MULTICOLLINEARITY
12. HETROSCEDASTICITY
13. AUTOCORRELATION
14. REGRESSION ON DUMMY VARIABLES