A Model Selection on Economic Variable in Nigeria

Muritala Abdulkabir; Omuku Ikechukwu Joshua; Raji Surajudeen Tunde

doi:doi:10.11648/j.bsi.20160101.12

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A Model Selection on Economic Variable in Nigeria

Muritala Abdulkabir, Omuku Ikechukwu Joshua, Raji Surajudeen Tunde

Published in Biomedical Statistics and Informatics (Volume 1, Issue 1)

Received: 11 September 2016 Accepted: 21 October 2016 Published: 12 December 2016

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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.

Published in	Biomedical Statistics and Informatics (Volume 1, Issue 1)
DOI	10.11648/j.bsi.20160101.12
Page(s)	13-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Gross Domestics Product, Multiple Regression, Model Selection, Variance Inflation Factor (VIF), Tolerance

References

[1]	Abiola, J., & Asiweh, M. (2012). Impact of tax administration on government revenue in a developing economy- a case study of Nigeria. International Journal of Business and Social Science. 3(8), 99-113.
[2]	Afuberoh, D., & Okoye, E. (2014). The impact of taxation on revenue generation in Nigeria. A study of Federal Capital Territory and selected states. International Journal of Public Administration and Management Research. 2(2), 22-47.
[3]	Ayuba, A.J. (2014). Impact of non-oil revenue on economic growth: the Nigerian perspective. International Journal of Finance and Accounting. 3(5), 303-309. Berman, H. (n.d.). Residual Analysis in Regression. Stat Trek. Retrieved from http://stattrek.com/regression/residual-analysis.aspx
[4]	Douglas Montgomery, Peck, E., & Vinning, G. (2012). Introduction to Linear Regression Analysis (5th ed.). Wiley. Experiment Design and Analysis Reference. (n.d.). ReliaSoft. Retrieved from http://reliawiki.org/index.php/Experiment_Design_and_Analysis_Reference
[5]	Iyanaga, S., & Kawada, Y. (1980). Statistical Estimation and Statistical Hypothesis Testing. (Vol. Appendix A, Table 23). Cambridge, MA: MIT Press.
[6]	Otu, O. H., & Adejumo, T. O. (2013). The effects of tax revenue on economic growth in Nigeria (1970-2011). International Journal of Humanitiesand Social Science invention. 2(6), 16-26.
[7]	Edame, G. E., & Okoi, W. W. (2014). The impact of taxation on investment and economic development in Nigeria. Academic Journal ofInterdisciplinary Studies. 3(4). 209-218.
[8]	Fasoranti, M. M. (2013). Tax productivity and economic growth. Lorem Journal of Business and Economics. 1(1), 1-10.
[9]	Okoye, P.V.C., & Ezejiofor, R. (2014). The impact of e-taxation on revenue generation in Enugu, Nigeria. International of Advanced Research. 2(2), 449-458.
[10]	Residual Analysis. (n.d.). DePaul University. Retrieved from http://facweb.cs.depaul.edu/sjost/csc423/documents/resid-anal.htm

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APA Style

Muritala Abdulkabir, Omuku Ikechukwu Joshua, Raji Surajudeen Tunde. (2016). A Model Selection on Economic Variable in Nigeria. Biomedical Statistics and Informatics, 1(1), 13-18. https://doi.org/10.11648/j.bsi.20160101.12

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ACS Style

Muritala Abdulkabir; Omuku Ikechukwu Joshua; Raji Surajudeen Tunde. A Model Selection on Economic Variable in Nigeria. Biomed. Stat. Inform. 2016, 1(1), 13-18. doi: 10.11648/j.bsi.20160101.12

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AMA Style

Muritala Abdulkabir, Omuku Ikechukwu Joshua, Raji Surajudeen Tunde. A Model Selection on Economic Variable in Nigeria. Biomed Stat Inform. 2016;1(1):13-18. doi: 10.11648/j.bsi.20160101.12

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@article{10.11648/j.bsi.20160101.12,
  author = {Muritala Abdulkabir and Omuku Ikechukwu Joshua and Raji Surajudeen Tunde},
  title = {A Model Selection on Economic Variable in Nigeria},
  journal = {Biomedical Statistics and Informatics},
  volume = {1},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.bsi.20160101.12},
  url = {https://doi.org/10.11648/j.bsi.20160101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20160101.12},
  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.},
 year = {2016}
}

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TY  - JOUR
T1  - A Model Selection on Economic Variable in Nigeria
AU  - Muritala Abdulkabir
AU  - Omuku Ikechukwu Joshua
AU  - Raji Surajudeen Tunde
Y1  - 2016/12/12
PY  - 2016
N1  - https://doi.org/10.11648/j.bsi.20160101.12
DO  - 10.11648/j.bsi.20160101.12
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20160101.12
AB  - 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.
VL  - 1
IS  - 1
ER  -

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Author Information

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

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APA Style

Muritala Abdulkabir, Omuku Ikechukwu Joshua, Raji Surajudeen Tunde. (2016). A Model Selection on Economic Variable in Nigeria. Biomedical Statistics and Informatics, 1(1), 13-18. https://doi.org/10.11648/j.bsi.20160101.12

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ACS Style

Muritala Abdulkabir; Omuku Ikechukwu Joshua; Raji Surajudeen Tunde. A Model Selection on Economic Variable in Nigeria. Biomed. Stat. Inform. 2016, 1(1), 13-18. doi: 10.11648/j.bsi.20160101.12

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AMA Style

Muritala Abdulkabir, Omuku Ikechukwu Joshua, Raji Surajudeen Tunde. A Model Selection on Economic Variable in Nigeria. Biomed Stat Inform. 2016;1(1):13-18. doi: 10.11648/j.bsi.20160101.12

Copy | Download

@article{10.11648/j.bsi.20160101.12,
  author = {Muritala Abdulkabir and Omuku Ikechukwu Joshua and Raji Surajudeen Tunde},
  title = {A Model Selection on Economic Variable in Nigeria},
  journal = {Biomedical Statistics and Informatics},
  volume = {1},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.bsi.20160101.12},
  url = {https://doi.org/10.11648/j.bsi.20160101.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20160101.12},
  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.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - A Model Selection on Economic Variable in Nigeria
AU  - Muritala Abdulkabir
AU  - Omuku Ikechukwu Joshua
AU  - Raji Surajudeen Tunde
Y1  - 2016/12/12
PY  - 2016
N1  - https://doi.org/10.11648/j.bsi.20160101.12
DO  - 10.11648/j.bsi.20160101.12
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20160101.12
AB  - 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.
VL  - 1
IS  - 1
ER  -

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