[R] Regression model

[Rolf Turner]

(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?