Solving multicollinearity problem of gross domestic product using ridge regression method

Authors

  • Ahmed D. Ahmed
  • Ebtisam K. Abdulah
  • Baydaa I. Abdulwahhab
  • Noura O. Abed

DOI:

https://doi.org/10.21533/pen.v8.i2.1093

Abstract

This study is dedicated to solving multicollinearity problem for the general linear model by using Ridge regression method. The basic formulation of this method and suggested forms for Ridge parameter is applied to the Gross Domestic Product data in Iraq. This data has normal distribution. The best linear regression model is obtained after solving multicollinearity problem with the suggesting of k10 value.

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Published

2020-06-30

Issue

Vol. 8 No. 2 (2020)

Section

Articles

License

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How to Cite

Solving multicollinearity problem of gross domestic product using ridge regression method. (2020). Periodicals of Engineering and Natural Sciences, 8(2), 668-672. https://doi.org/10.21533/pen.v8.i2.1093