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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.

enter image description here

Do you have any idea why it looks like this, is there any specific variance I can use to solve this problem.

kjetil b halvorsen
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Su Hua
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  • Possible duplicate of [Interpreting residual diagnostic plots for glm models?](https://stats.stackexchange.com/questions/29271/interpreting-residual-diagnostic-plots-for-glm-models) – kjetil b halvorsen Mar 28 '18 at 13:06

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