Homogeneity of variances, also known as homoscedasticity, is an assumption in statistical analyses that the variance within each group being compared is approximately equal. This assumption is crucial for the validity of many statistical tests, such as ANOVA and linear regression, as heteroscedasticity can lead to inaccurate conclusions about the relationships between variables.