when to use correlation analysis
Correlation analysis is used primarily as a data exploration technique to reveal the degree of association in a set of matched data. This information can inform subsequent analyses of relationships between variables. In particular, correlation can indicate possible factors that confound a relationship of interest.
Correlation Analysis. Correlation analysis is a method for measuring the covariance of two random variables in a matched data set. Covariance is usually expressed as the correlation coefficient of two variables X and Y. The correlation coefficient is a unitless number that varies from -1 to +1.