# Thread: R Squared and dummy variables

1. ## R Squared and dummy variables

Hey,
If you changed your model from one variable to a number of dummy variables, would the R^2 increase considerably, supposing that the dummy variables helped to create a more accurate estimate of the dependent variable?

Thanks

2. ## Re: R Squared and dummy variables

Your question is not clear. So you are conducting linear regression and have a continuous predictor that you may discretize? Now your question is how it will impact the R^2 value for the model. Is that your question?

We can talk about it, but I would recommend to first do it and report your findings. This will likely answer some of the basic question about what you are actually working with.

3. ## Re: R Squared and dummy variables

It will affect the model fit, however there are a lot of arguments against dichotomising continuous variables...

http://biostat.mc.vanderbilt.edu/wik.../CatContinuous

4. ## Re: R Squared and dummy variables

If you changed your model from one variable to a number of dummy variables, would the R^2 increase considerably, supposing that the dummy variables helped to create a more accurate estimate of the dependent variable?
I'd guess that this could happen in case of a nonlinear relationship between the predictor and the dependent variable.

With kind regards

K.

@evelyn13
Seemingly the OP didn't mean dichotomization, but multiple dummies.

5. ## Re: R Squared and dummy variables

Follow-up, I am trying to reference whether a relationship even exists in the first place.

6. ## Re: R Squared and dummy variables

Originally Posted by Karabiner
I'd guess that this could happen in case of a nonlinear relationship between the predictor and the dependent variable.

With kind regards

K.

@evelyn13
Seemingly the OP didn't mean dichotomization, but multiple dummies.
True sorry...my points still stand though (including the link I attached).

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