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Thread: Model validation in regression

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    Model validation in regression




    I was wondering, for this question and why. I think its in-sample but curious why.

    1) Models need to be validated:

    a. In-sample

    b. Out-of-sample

    c. Both in-sample and out-of-sample


    Also, for heterosketadicity (below), I got d) a non-linear pattern but curious why.

    2) Heteroscedasticity can be detected graphically by plotting the residuals against the in-sample predicted value Y-hat by visualizing these shapes:

    a. a tube

    b. a funnel

    c. a double bow

    d. a nonlinear pattern

    e. a funnel, a double bow, or any nonlinear pattern

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    Re: Model validation in regression

    Not trying to be an A$$, but both are wrong. Try again and what class are these for?
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    Re: Model validation in regression

    I'm taking a linear regression class at Cal and stuck. I would appreciate if you would be able to explain the quesions above, since my book didn't really cover it well.

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    Re: Model validation in regression

    What book are you using?
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    Re: Model validation in regression


    Applied Multivariate Data Analyssis by Everitt. I posted the questions I need help on this forum (http://www.talkstats.com/showthread....ht=#post199778) and wondering if you would be able to please respond to this. Thanks

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