A Multiple Regression Analysis of Production and Export Factors on Modeling Crude Oil Prices (2006–2024)
Student: Usman Mustafa Mai (Project, 2025)
Department of Computer Science and Mathematics
Kashim Ibrahim University
Abstract
This study investigates the relationship between crude oil prices, production levels, and export volumes in Nigeria from 2006 to 2024. Using multiple regression analysis, the research examines how changes in production and export activities influence crude oil prices. The findings reveal weak positive correlations, indicating that both production and export have limited effects on price fluctuations. The regression model explains only a small portion of the variation in crude oil prices, suggesting that global market forces and external economic factors play a more significant role. The study recommends economic diversification and improved policy measures to enhance stability in Nigeria’s oil-dependent economy.
Keywords
For the full publication, please contact the author directly at: maimustafausman@gmail.com
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Institutions
- AVE-MARIA UNIVERSITY, PIYANKO, NASARAWA STATE 1
- Babcock University, Ilishan-Remo, Ogun State 8
- Bamidele Olumilua University of Edu. Science and Tech. Ikere Ekiti, Ekiti State 459
- Bauchi State College of Agriculture, Bauchi, Bauchi State 1
- Bauchi State University, Gadau, Bauchi State 16
- Bayelsa State Polytechnic, Aleibiri, Bayelsa State 13
- Bayero University, Kano, Kano State 602
- Benue State Polytechnic, Ugbokolo, Benue State 11
- Benue State University, Makurdi, Benue State 47
- Bingham University, Karu, Nasarawa State 6