11 November 2018 1 7K Report

Hello all,

We are working on a project as a team and some of us using R and I am using SAS. For some reason, we are getting different best models using forward and stepwise methods. I am getting best model with 11 predictors, my team mates using R is getting a best model with only 8 predictors. I don't understand how this can be possible. What am I missing?

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