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.
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For the full publication, please contact the author directly at: maimustafausman@gmail.com
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Institutions
- Federal Polytechnic, Nasarawa, Nasarawa State 66
- Federal Polytechnic, Nekede, Imo State 55
- Federal Polytechnic, offa, Kwara State 20
- Federal Polytechnic, Oko, Anambra State 8
- Federal School of Biomedical Engineering, (LUTH), Idi-Araba, Lagos State 1
- Federal School of Surveying, Oyo, Oyo State 7
- Federal University of Agriculture, Abeokuta, Ogun State 19
- Federal University of Petroleum Resources, Effurun, Delta State 81
- Federal University of Technology Akure, Ondo State 24
- Federal University of Technology, Minna, Niger State 47