No, it's not homework, it's just some initial analysis, but still... and thanks for recommendation.
On Thu, Nov 21, 2013 at 4:42 PM, Rolf Turner <r.tur...@auckland.ac.nz>wrote: > > (1) Is this homework? (This list doesn't do homework for people!) > (Animals maybe, but not people! :-) ) > > (2) Your question isn't really an R question but rather a > statistics/linear modelling > question. It is possible that you might get some insight from Frank > Harrel's book > "Regression Modelling Strategies" (Springer, 2001). > > cheers, > > Rolf Turner > > > On 11/22/13 12:52, srecko joksimovic wrote: > >> Hi, >> >> I'm trying to fit regression model, but there is something wrong with it. >> The dataset contains 85 observations for 85 students.Those observations >> are >> counts of several actions, and dependent variable is final score. More >> precisely, I have 5 IV and one DV. I'm trying to build regression model to >> check whether those variables can predict the final score. >> >> I'm attaching output of several steps, but I tried to following procedure: >> - build model with only those two variables >> - summary shows that non of them is significant predictor of the final >> outcome. >> - test for multicollinearity revealed tolerance below 0.2 (potential >> problem) >> - build two new models having as a predictor only one of those values >> - both models show that variable used for the model is significant >> predictor. Separately they are significant, together not. Probably >> multicollinearity problem, but... >> - as I keep adding other variables to one or the other model, Multiple >> R-squared slightly increases. >> - I tried to compare different models using anova, but non of them seems >> to >> be better. >> >> How to determine which model is better? >> > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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.