Volume 1, Issue 1, December 2016, Page: 13-18
A Model Selection on Economic Variable in Nigeria
Muritala Abdulkabir, Statistics Department, Lens Polytechnic Offa, Offa, Nigeria
Omuku Ikechukwu Joshua, Statistics Department, Lens Polytechnic Offa, Offa, Nigeria
Raji Surajudeen Tunde, Mathematics and Statistics Department, Federal Polytechnic Offa, Offa, Nigeria
Received: Sep. 11, 2016;       Accepted: Oct. 21, 2016;       Published: Dec. 12, 2016
DOI: 10.11648/j.bsi.20160101.12      View  2441      Downloads  74
Abstract
This study is on model selection on economic variable on gross domestic product in Nigeria, the data used for this study were extracted from National Bureau of Statistics (NBS), the statistical tool is multiple regression model and model selection to select the best model and in the variable and to evaluate and test GDP as a determinant which will capture the effect on economic variables. At the end of the analysis and findings it were concluded that Import value import value from the export, production, petroleum and consumption plays the most significant role in the company’s market. It can be used as a tool to estimate the company’s future market price.
Keywords
Gross Domestics Product, Multiple Regression, Model Selection, Variance Inflation Factor (VIF), Tolerance
To cite this article
Muritala Abdulkabir, Omuku Ikechukwu Joshua, Raji Surajudeen Tunde, A Model Selection on Economic Variable in Nigeria, Biomedical Statistics and Informatics. Vol. 1, No. 1, 2016, pp. 13-18. doi: 10.11648/j.bsi.20160101.12
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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