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.

On Sun, Sep 18, 2016 at 9:26 AM, mviljamaa <

[hidden email]> 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.

>

> ______________________________________________

>

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

>

https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide

http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.

--

Gregory (Greg) L. Snow Ph.D.

[hidden email]
______________________________________________

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide

http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.