Multiple Regression Flashcards
1
Q
How to interpret R2
A
% of variance in X that is accounted by Y
2
Q
How to interpret change in R2
A
proportion of improvement in fit by using Model X over Model Y
3
Q
How to interpret change in F
A
Model Y is a significant improvement over Model X
4
Q
How to interpret F-ration
A
Model X is signficantly better than using the mean value of (variable) alone
5
Q
AKaike Information Criterion (AIC)
A
meaure of fit which penalizes the model for having more variables
6
Q
What does bigger AIC mean
A
fit is worse
7
Q
VIF
A
indicates whether a predictor has a strong linear relationship with th eother predictors
