In the previous chapter, we remarked that even when a strong linear correlation exists between two variables, X and Y, it may not be possible to talk about either one of them as the cause of the other. Even so, there is nothing to keep us from using one of the variables to predict the other. In making predictions from one variable to another, the variable being predicted is called the dependent variable and the variable predicting the dependent variable is called the independent variable. The dependent variable may also be referred to as the criterion or outcome while the independent variable may also be referred to as the predictor or regressor.
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