Discussions

Data correlation is a statistical quantity used to describe the strength and direction of association between two variables. It tells us how a variable varies in relation to another variable. The strength of the relationship is measured by the correlation coefficient, typically between -1 and +1. A positive (+1) correlation indicates that as one variable rises, the other does also, whereas a negative (-1) correlation indicates that as one variable rises, the other will fall. A correlation of 0 suggests there is little or no linear relationship between the variables.