I am going to fit a model using quasi likelihood, (because the dispersion parameter > 1, y is a binary data). But when I using variance equals to miu(1-miu), or miu^2*(1-miu)^2, the Pearson residuals looks like this.
Do you have any idea why it looks like this, is there any specific variance I can use to solve this problem.
