Homoscedasticity
Homoscedasticity refers to the assumption in statistics that the variance of errors in a regression model is constant across all levels of the independent variable. In simpler terms, it means that the spread of data points around the regression line remains the same along the entire range of the predictor variable. This assumption is important for ensuring the validity of statistical tests and the reliability of the model's predictions.