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Thread: How to interpret residual plot of a logistic regression?

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    Question How to interpret residual plot of a logistic regression?




    Hi all,

    I'm working on a default probability model and was modeling the default probability using logistic regression. The pearson residual and deviance residual plots are attached. Can anyone give me some idea about how to interpret these two plots? Do these plots indicate heteroskedasticity? serial correlation? overdispersion? curvature etc.?

    Thanks!!
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Name:	Pearson Residual.jpg‎
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    Re: How to interpret residual plot of a logistic regression?


    Threads can only be open in one forum. Because the other one already had a response and this has none I will close this one.
    "Very few theories have been abandoned because they were found to be invalid on the basis of empirical evidence...." Spanos, 1995

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