Heteroscedasticity - part 1
Parametric tests are those that assume parameters about the statistical population such as normality and homoscedasticity.
In this lecture, we will:
Understand how heteroscedasticity affects ANOVAs.
Learn how to detect heteroscedasticity in ANOVAs and linear models.
Demonstrate that ANOVA is a linear model and, as such, we can use general statistical approaches developed for regression to deal with heteroscedasticity.