A causation relationship refers to a cause-and-effect connection between two or more variables in which changes in one variable lead to changes in another. It implies that one event or factor directly influences the occurrence of another event or factor.
Imagine you have a pet hamster named Fluffy. Whenever you give Fluffy his favorite treat, he starts running on his wheel. The act of giving him the treat causes him to run on the wheel. This is similar to a causation relationship where one action directly leads to another.
Correlation: Correlation refers to a statistical relationship between two variables in which changes in one variable are associated with changes in another, but it does not necessarily imply a causal connection.
Independent Variable: An independent variable is a variable that is manipulated or changed by the researcher and is believed to cause changes in another variable.
Dependent Variable: A dependent variable is a variable that is being observed for any possible effects caused by the manipulation of the independent variable.
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