Intro to Probability for Business
Homoscedasticity refers to a key assumption in regression analysis where the variance of the residuals (errors) is constant across all levels of the independent variable. This means that the spread or 'scatter' of the residuals remains uniform, regardless of the value of the predictor variable. When this assumption holds true, it indicates that the model is well-fitted, leading to more reliable statistical inferences and predictions.
congrats on reading the definition of Homoscedasticity. now let's actually learn it.