Communication Research Methods
Homoscedasticity refers to the condition in which the variance of the errors (or residuals) in a regression analysis is constant across all levels of the independent variable(s). This property is crucial for valid hypothesis testing and for ensuring that the results of regression models are reliable, as it indicates that the model's predictions are equally accurate across the range of data.
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