There are two main factors behind this reason.

To understand the difference between correlation and causation, we first need to understand why both cannot be used interchangeably. In the argument between correlation vs causation, why does correlation not imply causation? In correlation vs causation, correlation does not mean causation however, causation always implies correlation. The change in one variable affects the other, which establishes correlation, influenced by a link between them. It describes a cause and effect relationship between the variables of the research.

The changes occur in the variables simultaneously however, the change is not necessarily due to the link between the variables.Д¬ausation refers to the change in one variable that is induced by the change in the other. Thus, correlation is used as a statistical indicator of the association of the different variables. It means a change in one variable would induce a change in the other. The difference: Correlation vs causationД¬orrelation is used to describe the relation or association between the associated variables of the research. In research, there is a common phrase that most of us have come across вЂњcorrelation does not mean causation.вЂќ Though both are related ideas, understanding the difference between correlation and causation will help you critically analyse and interpret the research. The statistical association between the variables is termed a correlation, whereas the effect of change of one variable on another is called causation.

Causation vs causality