Iqtisodiyot sohasida korrelyatsion-regression modellarini qöllaş

Application of correlation and regression models in the field of economics

Main Article Content

Paraxat Ataniyazovich Allaniyazov
Dinara Abdiualiy qizi Saparova

Abstract

This thesis covers the use of correlation and regression models in the quantitative assessment of economic processes, in identifying the relationships between factors and in forecasting. As a result of the development of information and communication technologies (ICT), the possibilities for collecting, storing, processing and analyzing economic data are expanding. Under these conditions, correlation analysis serves to assess the strength and direction of the relationship between economic indicators, while regression analysis serves to assess the quantitative dependence of the resulting indicator on the factors. The paper presents the stages of model building, the main statistical criteria, the areas of practical application, as well as a simple example based on hypothetical data.

Article Details

Section

Sustainable development of agriculture

How to Cite

Allaniyazov, P. A., & Saparova, D. A. qizi. (2026). Application of correlation and regression models in the field of economics. Partner Conferences of the International Scientific Journal Research Focus, 1(10), 682-687. https://doi.org/10.66073/ReFocus-Conf/1311147

References

Gujarati D. N., Porter D. C. Basic Econometrics. 5th ed. New York: McGraw-Hill, 2009.

Wooldridge J. M. Introductory Econometrics: A Modern Approaç. 7th ed. Cengage, 2020.

Montgomery D. C., Peck E. A., Vining G. G. Introduction to Linear Regression Analysis. 5th ed. Wiley, 2012.

James G., Witten D., Hastie T., Tibşirani R. An Introduction to Statistical Learning. 2nd ed. Springer, 2021. DOI: https://doi.org/10.32614/CRAN.package.ISLR2

OECD. OECD Digital Economy Outlook 2024. Paris: OECD Publişing, 2024.

Özbekiston Respublikasi Milliy statistika qömitasi. Rasmiy statistik ma’lumotlar portali: https://stat.uz (murojaat sanasi: 06.11.2026).