Here is an example of what I mean (if I understand this correctly it means homoskedacity is not an issue for logistic regression).

Actually of course homoskedacity won't be an assumption D'ohAs mentioned previously, the independent or predictor variables in logistic regression can take any form. That is, logistic regression makes no assumption about the distribution of the independent variables. They do not have to be normally distributed, linearly related or of equal variance within each group.The relationship between the predictor and response variables is not a linear function in logistic regression, instead, the logistic regression function is used, which is the logit transformation of q:

Hey I don't have to worry about violating assumptions (other than MC) with this....I like it