a. To satisfy an assumption.
We want homogeneity of variance because it is an assumption of many statistical tests, such as ANOVA (Analysis of Variance), t-tests, and regression analysis. Homogeneity of variance means that the variances of the groups or samples being compared are equal. Violating this assumption can lead to biased or inaccurate results, so it is important to check for homogeneity of variance before running statistical tests.