1. Introduction to econometrics ( subject of economterics, metodology of econometrics)
2. Simple linear regression function ( the nature of regression analysis, the concept of population and sample regression function ( deterministic and stochastic version), the method of ordinary least squares, coefficient of determination)
3. Statistical verification ( testing od regression coefficients, the overall of sample regression model)
4. Autocorrelation (the nature, the consequences of autocorrelation, detection, removing).
5. Heteroscedasticity ( the nature, its consequences, detection, removing, WOLS)
7. Multicollinearity ( ( the nature, its consequences, detection, removing).
8. Model specification (model selection criteria, types of specification errors, consequences, tests)
9. Prediction (ex-post and ex-ante, mean and individual prediction, point and interval prediction).
10. Functional form of regression models (exponencial regression model, semilog models, reciprocal models).
11. Dummy variable regression models.