Investigating the Significance of a Correlation Coefficient using Jackknife Estimates

Authors

  • Anthony Akpanta ABIA STATE UNIVERSITY
  • Idika Okorie

Keywords:

Jackknife, simple linear regression, correlation coefficient, ols estimates, bias.

Abstract

Often in Applied statistics, population parameters are not known and could be inferred using the available sample data and this is the underpinning of statistical inference. Resampling technique such as jackknife offers effective estimates of parameters and its asymptotic distribution. In this paper, we present the jackknife estimate of the parameters of a simple linear regression model with particular interest on the correlation coefficient. This procedure provides an effective alternative test statistic for testing the null hypothesis of no association between the explanatory variables and a response variable.

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Published

2015-05-29

How to Cite

Akpanta, A., & Okorie, I. (2015). Investigating the Significance of a Correlation Coefficient using Jackknife Estimates. International Journal of Sciences: Basic and Applied Research (IJSBAR), 22(2), 441–448. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/3808

Issue

Vol. 22 No. 2 (2015)

Section

Articles

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