Pearson S Correlation. Pearson correlations are only suitable for quantitative variables including dichotomous variables. It measures the strength of the relationship between the two continuous variables.
It is very commonly used in linear regression. The first step in studying the relationship between two continuous variables is to draw a scatter plot of the variables to check for linearity. The pearson correlation is also known as the product moment correlation coefficient pmcc or simply correlation.
The first step in studying the relationship between two continuous variables is to draw a scatter plot of the variables to check for linearity.
In simple words pearson s correlation coefficient calculates the effect of change in one variable when the other variable changes. Pearson s correlation coefficient is the test statistics that measures the statistical relationship or association between two continuous variables. The form of the definition involves a product moment that is the mean the first moment about the origin of the product of the mean adjusted random variables. The correlation coefficient should not be calculated if the relationship is not linear.
