1. Introduction to econometrics. Targets and goals of econometrics

13. Introduction to Econometrics. Goals and objectives of econometrics (subject, purpose of econometrics, tasks of econometrics, basic econometric methods).
15The Coefficient of Determination R² (A measure of “Goodness of Fit”).
16. Multiple econometric model (regression relationships, least squares method, economic analysis coefficients).
17.The importance of basic statistical concepts in econometrics (set, variation, limit of variation, frequency, variance, coefficient of variation).
18. Econometric model in the form of a system of equations (concepts, types, identification problems).
19.Data sources of econometric models (statistical nature of economic data, selection of related and unrelated variables).
20. Types of correlation coefficients and their intervals (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).
21.Stages of econometric modeling (specification, identification, verification, forecasting).
22. Types of correlation coefficients and change intervals (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).
23.The Coefficient of Determination R² (A measure of “Goodness of Fit”).
24.Introduction to econometrics (targets and goals of econometrics, subject of econometrics, purpose of econometrics, tasks of econometrics, basic econometric methods).
25. Types of correlation coefficients (intervals of values of correlation coefficients, weak correlation, medium correlation, dense correlation, functional correlation, positive and negative correlations).
26. Stages of econometric modeling (specification, identification, verification, forecasting).
27.Types and classification of econometric models (concept of econometric model, linear and nonlinear model, static and dynamic, stochastic and deterministic, functional and structural model).