Application of a Correlation Model to Analyze Dependent Variables

A methodology is explained to study the dependency between two variables. The correlation coefficient between two variables is used as a measure of the degree of dependency. A bootstrap technique accounts for the statistical uncertainty in the correlation coefficient that is estimated from the data. A computer program, Correlation Coefficient Generator (CCG), was developed to perform the analysis. The methodology is demonstrated by an example that determines the statistical dependence between specific actions of control-room operator of a nuclear power plant. The methodology and the CCG code are effective and easy to use.