1. Introduction to econometrics. Targets and goals of econometrics

58. The importance of basic statistical concepts in the study of econometrics (set, variation, limit of variation, frequency, variance, coefficient of variation).
59. Econometric model in the form of a system of equations (concepts, types, identification problems).
60. Data sources of econometric models (statistical nature of economic data, selection of related and unrelated variables).
61. Types of correlation coefficients and their intervals (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).
62. Stages of econometric modeling (specification, identification, verification, forecasting).
63. Types of correlation coefficients and change intervals (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, positive and negative correlation).
64.The Coefficient of Determination R² (A measure of “Goodness of Fit”).
65.Introduction to econometrics (targets and goals of econometrics, subject of econometrics, purpose of econometrics, tasks of econometrics, basic econometric methods).
66. Types of correlation coefficients (intervals of values of correlation coefficients, weak correlation, medium correlation, dense correlation, functional correlation, direct and inverse correlations).
67. Stages of econometric modeling (specification, identification, verification, forecasting).
68. Types and classification of econometric models (concept of econometric model, linear and nonlinear model, static and dynamic, stochastic and deterministic, functional and structural model).
69. Types of correlation coefficients and intervals of values of correlation coefficients (weak correlation, medium correlation, dense correlation, functional correlation, direct and inverse correlations).


70. Simple regression analysis (regression equation, linear, nonlinear, least squares method, system of normal equations, coefficients).