O„rganishda qo„llanilishi ko„rsatilgan. Bunga ko„ra ekonometrik modellashtirishda ko„p omilli regressiya usulini afzaliklari ko„rsatilgan

Kalit so‘zlar: Regressiya, noaniqlik, raqamli tving, dispersiya, tannarx, limit. 
STUDY OF MULTIFACTOR REGRESSION METHOD IN ECONOMETRIC 
MODELING 
 
ABSTRACT 
It is shown that the research process of multifactor regression method in 
econometric modeling is used in solving the problems that hinder the development of 

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Central Asian Research Journal For Interdisciplinary Studies (CARJIS) 
ISSN (online): 2181-2454 
Volume 2 | Issue 10 |October, 2022 | SJIF: 5,965 | UIF: 7,6 | ISRA: JIF 1.947 | Google Scholar | 
www.carjis.org 
DOI:
10.24412/2181-2454-2022-10-374-381 
 
E-mail: [e-mail] 
375 
industrial enterprises, in studying the functions of production costs, in 
macroeconomic calculations and in studying a number of other problems of 
econometrics. Accordingly, the advantages of the multifactor regression method in 
econometric modeling are shown. First, it is shown that econometrics, as a unique 
system of methods, describes the possibility of clarifying its problems by describing 
the characteristics of economic variables and the connections between them. Not only 
the first-level variables are included in the regression equation, but the second-level 
variables are also included in order to express the optimal characteristics of the 
economic variables that reflect the values that have a maximum or minimum (more or 
less) impact on the result. Secondly, it can reflect the interaction of socio-economic 
variables considered as independent components in the regression equation. 
Keywords: Regression, uncertainty, numerical tuning, dispersion, cost, limit. 
 
KIRISH 
Bugungi kunda sanoat korxonlarini rivojlantirishning raqamli texnologiyalarga 
asoslangan innavatsion hududiy salohiyatga asoslanuvchi potensial, texnik, 
texnologik, ijtimoiy, iqtisodiy, intellektual omillar sinergiyasi asosida sinergetik 
yo„nalishlari va turlari ma‟lum bir samoradorlik ko„rsatkichlariga ega. Bu esa sanoat 
korxonalarini rivojlantirishda raqamli tvingni joriy etish, intellektual boshqaruv 
tizimlaridan foydallanish omillarini baholash yangi inovatsion, intellektual 
omillarning tizimlashtirish bilan bo„g„liq muamolar borligini bildiradi. 
Sanoat korxonalarini rivojlantirish, o„zgarib turuvchi raqobat muhiti va bozor 
sharoitlarida ekonometrik usullar va modellardan foydalanish yordamida 
makroiqtisodiy bashorat qilish, tavakkalchilik va noaniqlik sharoitida optimal 
iqtisodiy qarorlar qabul qilish, keyinchalik, bu qarorlar bajarilishini nazorat qilish 
masalalarining nazariy va amaliy tomonlarini o„rganishda juft regressiya 
modellashtirish muhim ahamiyat kasb etadi.