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Which of the following best explains correlation and causation?
Correlation is the presentation of a hypothesis, but causation explains the role of the independent variable.
Correlation shows a relationship between two variables that may indicate possible causation, but not necessarily.
Correlation explains the relationship between two variables while causation provides empirical data.
Correlation is used to gather data on the dependent variable, while causation gathers data on the independent variable.
Correlation and causation are two different terms used to describe the same concept of the relationship between variables.