Generally,we say that changes in the dependent variable are associated with or caused by changes in the independent variable.

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This statement is generally true and is a fundamental principle in statistical analysis and modeling. The independent variable is the variable that is manipulated or controlled by the researcher, while the dependent variable is the variable that is affected by changes in the independent variable. By measuring the relationship between these variables, we can identify patterns and make predictions about the behavior of the system being studied. However, it is important to note that correlation does not necessarily imply causation, and other variables or factors may also influence the dependent variable.

Generally,we Say That Changes in the Dependent Variable Are Associated