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Thread: CI for Dependent Variable in Multiple Linear Regression

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    CI for Dependent Variable in Multiple Linear Regression




    I have a regression model but I want to get a 95% confidence interval of the dependent variable for given values of the independent variables.

    I found that for a single factor regression: Confindence interval = t(alpha, DofF) * SYX * SQRT(1/n+(X-XAVG)^2/SSX)

    where n is the number of observations, XAVG is the average of all the independent variables and X is the value for X of the independent variable at the point the CI is wanted.

    Is there a way to extend this to multiple linear regression (I have 3 factors)?

    Thanks

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    Re: CI for Dependent Variable in Multiple Linear Regression


    This was stuck in the moderator queue and I just saw it. Do you still want help with this?
    I don't have emotions and sometimes that makes me very sad.

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