1. Introduction to econometrics. Targets and goals of econometrics

44.Stages of econometric modeling (specification, identification, verification, forecasting).
45.Multiple econometric model (regression relationships, least squares method, economic analysis coefficients). 1. Basic concepts of probability theory and mathematical statistics in econometrics (variance, standard deviation, mode, median).
46. Special equation of regression (multiple and special correlation).
47. Econometric models (the concept of econometric model, its types and variables in it).
48. Multiple econometric model (regression relations, least squares method, economic analysis coefficients).
49. Correlation coefficient (correlation density, formula, average, standard deviation, mathematical expectation).
50. Applied econometric models (production functions, econometric models of supply and demand).
51.Basic concepts of probability theory and mathematical statistics in econometrics (random variables, sets, variance, coefficient of variation).
52. Multiple econometric model (regression relationships, least squares method, economic analysis coefficients).
53.Problem. Based on the data given below in the table, calculate: arithmetic mean, linear deviation, variance, standard deviation.

54. Types of correlation coefficients and their intervals of values (correlation coefficient formula, standard deviation, weak, average, dense correlation, functional, direct and inverse correlation).
55. Introduction to Econometrics. Goals and objectives of econometrics (subject, purpose of econometrics, tasks of econometrics, basic econometric methods).
56. Units of measurement of indicators of the econometric models (absolute indicators in natural and value terms, relative indicators, qualitative indicators).
57. Multiple econometric model (regression relationships, least squares method, economic analysis coefficients).