Multivariate regression model for factors affecting natural gas production in the Republic of Uzbekistan

Mualliflar

  • R. Kendjaev Tashkent State Transport University ##default.groups.name.author##
  • U. Shamsieva Tashkent State Transport University ##default.groups.name.author##

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https://doi.org/10.56143/3030-3893-2025-1S-285-286

##semicolon##

correlation matrix, multicollinearity, degree of significance, critical value, correlation coefficient, predictor, regression

Abstrak

This article examines the relationship between natural gas production in Uzbekistan and the factors affecting it —
domestic consumption, export volume, export income and international gas prices. A multivariate linear regression
model was built to estimate the effects of these variables based on 20 years of data. Correlation analysis showed
strong correlation between several indicators, while VIF analysis eliminated the multicollinearity problem. The
final model was statistically evaluated for reliability using t-tests and F-tests. Through the results, factors were
identified that significantly affect the volume of gas production. The conclusions drawn from these results help
policymakers optimize resource management and export strategies.

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Nashr qilingan

2026-02-12

##submission.howToCite##

Multivariate regression model for factors affecting natural gas production in the Republic of Uzbekistan. (2026). Международный научный журнал «Инженер», 1(1), 285-286. https://doi.org/10.56143/3030-3893-2025-1S-285-286

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