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Regression that includes two or more non-constant independent variables.
0
votes
Multiple Regression Analysis with multiple years
I would use multi-level modeling since you have hierarchical data (several data-points for each company). Sometimes called mixed models, since they mix fixed and random effects. You can use the lme4 p …
2
votes
0
answers
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Does entry-order in stepwise regression matter even if there is no colinearity between predi...
I'm not sure I understand stepwise multiple regression, so I'll first try to share my understanding of it:
We use several IV to predict one DV. In forward selection, we first enter the IV that increas …