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Thread: Controlling for a variable in multiple regression creates significance of another var

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    Controlling for a variable in multiple regression creates significance of another var




    I have continuous variables A, B and C.
    A/B correlates with C significantly. Neither A, B or A*B correlates significantly with C.

    In multiple linear regression, with C as the dependent variable,
    A is predicting C significantly, but only when B is controlled for.

    A*B does not predict C in multiple linear regression.

    What to make of this? Usually when you control for variables, significance of other variables drops. Here it is [i]adding[i] significance. I don't get it.

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    Re: Controlling for a variable in multiple regression creates significance of another


    Please don't duplicate posts. The issue is that some people will write in this thread while others post on the original - with both parties replicating content or not privy to the other thread.
    Stop cowardice, ban guns!

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