In the context of simple linear regression, the difference between the observed value and the predicted value is referred to as the ________.
- correlation coefficient
- dependent variable
- error term
- independent variable
The error term, or residual, in a regression model is the difference between the observed value and the predicted value. It represents the portion of the dependent variable that cannot be explained by the independent variable(s).
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