1. Introduction to econometrics. Targets and goals of econometrics

1.Introduction to econometrics. Targets and goals of econometrics (subject, purpose of econometrics, tasks of econometrics, basic econometric methods).
2. Nonlinear regression (nonlinear models, correlation for nonlinear dependencies).
The need for econometric modeling of the economy (the importance of econometric modeling and models, econometric model, basic econometric methods).
3. Time series (Multiplicative and additive models).
The concept of econometric model, types and variables (econometric model, endogenous and exogenous variables, linear and nonlinear econometric models).
4. Simultaneous equations model (concepts, types, identification problems).
. Stages of econometric modeling (specification, identification, verification, forecasting).
5. Multiple econometric model (regression relationships, least squares method, economic analysis coefficients).
6.Basic concepts of probability theory and mathematical statistics in econometrics (variance, standard deviation, mode, median).
7. Special equation of regression (simple and multiple correlation).
Econometric models (the concept of econometric model, its types and variables).
8. Multiple econometric model (regression relations, ordinary least squares method, economic analysis coefficients).
Correlation coefficient (correlation density, formula, average, standard deviation, mathematical expectation).
9. Applied econometric models (production functions, econometric models of supply and demand).
10.Basic concepts of probability theory and mathematical statistics in econometrics (random variables, sets, variance, coefficient of variation).
11. Multiple econometric model (regression relationships, ordinary least squares method, economic analysis coefficients).
12.Types of correlation coefficients and their intervals of values (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).