ABSTRACT
The correlation is a statistical technique that is based on the work of the 19th century mathematicians and statisticians, Francis Galton and Karl Pearson and bears the latter’s name, the Pearson product–moment correlation coefficient. Cause and effect cannot be interpreted from correlation which only indicates a relationship. It is sometimes tempting to conclude that one variable causes changes in the other variable, but such inferences cannot be justified on the basis of correlation. Charles Spearman’s rank correlation coefficient is a nonparametric measure of rank correlation. Factor analysis is a collection of methods used for exploring the correlations between a number of variables seeking the underlying clusters or subsets called factors or latent variables. A canonical correlation is calculated to indicate the strength of the relationship between the test scores. The correlation is a statistical technique to study the relationship between and among variables.
