The Correlation Analysis is used to find out whether a statistically significant relationship exists between two continuous variables. When performing a Correlation Analysis the resulting Correlation coefficient shows both the strength of the relationship and the direction, which can be positive or negative. Pearson’s Correlation coefficient can be used when the assumptions are met: there should be a linear relationship between the two variables and both should follow an (approximate) normal distribution. If the data does not meet these assumptions, Spearman’s Correlation coefficient is the recommended alternative. When you order this analysis, both the Pearson and Spearman Correlation will be performed on your dataset.