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Thread: From Pearson correlation to LMM Contribution

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    From Pearson correlation to LMM Contribution




    Hi,

    I have two variables X1 and X2 which are poorly correlated (Pearson; r=0.1).

    Since we think the relation between X1 and X2 varies daily, I then use a linear mixed effect model (LMM) to try and predict X1 where
    (1) X1 is the dependent variable, X2 is the fixed part and X3 (=date) is the random part.

    I wonder if due to the poor correlation between X1 and X2, would I necessarily expect a low contribution of X2 to the explained variance of X1 in the mixed model ?

    Thank you very much

    M

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    Re: From Pearson correlation to LMM Contribution

    Do you all think there is a seasonal pattern (a la time series modeling)?
    Stop cowardice, ban guns!

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    Re: From Pearson correlation to LMM Contribution


    There can be one

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