A method of 3R to evaluate the correlation and predictive value of variables

Yuanyuan Cheng

No c79tu, OSF Preprints from Center for Open Science

Abstract: Abstract To evaluate the correlation and predictive value between variables using a 3R method. Using the 3R method (a combined application of linear regression, ROC curve analysis, and R software to evaluate the correlation between variables and their predictive value), the ROC curve was introduced into the linear correlation regression analysis, and the R software was used to calculate the regression equation, AUC, sensitivity, specificity, and Jorden index to make a precise and accurate judgment of the correlation between variables.The linear regression model established for two variables with linear correlation was statistically significant, and ROC curve analysis was performed to quantitatively evaluate the predictive value between the variables. ROC curve was introduced into linear correlation regression analysis enabled a more accurate evaluation of the correlation between variables and their predictive value based on precise analysis. the R software was suitable for such analytical work.

Date: 2023-09-08
New Economics Papers: this item is included in nep-ger
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:c79tu

DOI: 10.31219/osf.io/c79tu

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