You might consider the Predict.Plot and TkPredict functions in the
TeachingDemos package. These help you explore multiple linear
regression models by plotting the "line" relating the response to one
of the predictors at given values of the other predictors. These
lines can be combined in a single plot (Predict.Plot) or changed
interactively (TkPredict). See the examples in the help page.

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On Sun, Sep 18, 2016 at 9:26 AM, mviljamaa <mvilja...@kapsi.fi> wrote:
> I'm having a bit of trouble plotting the regression line of multivariable
> linear model.
>
> Specifically my model has one response and two predictors, i.e. it's of the
> form
>
> Y = b_0+b_1*X_1+b_2*X_2
>
> Plotting the regression line for a single predictor model
>
> Y = b_0+b_1*X_1
>
> is simple enough, just call abline() with the coefficients returned by lm().
>
> However, I don't know if this can be adapted to multivariable linear models.
>
> I also know about curve(), but I don't know how am I supposed to input the
> multivariable model's coefficients into it.
>
> ______________________________________________
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--
Gregory (Greg) L. Snow Ph.D.
538...@gmail.com
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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