Flashcards in 4. Multiple linear regression Deck (14):
What are the 2 goals of a MLR?
get b values
What are the 3 types of correlation?
What are the 2 reasons that multicollinearity is a problem?
It reduces the size of R
It obscures the importance of individual predictors
What type of multiple linear regression could you use if multicollinearity is present but you would like to keep the predictors in the model because they explain the underlying construct?
What type of MLR has all IVs entered into analysis at once?
How does a simultaneous MLR work?
It assesses each variable as if it had been entered into the regression after all the others
What should you generally enter in first in a simultaneous MLR?
The highest correlated (biggest r)
How are variables entered into a Hierarchical MLR?
Based on some external criterion of our own, like a theoretical model
What are the different types of MLR?
Step-wise (forward, backward)
In a Step-wise MLR how are variables entered?
Only those variables that contribute statistically to the prediction of the DV
When should a step-wise MLR not be used?
Sample less than 40
What does a backwards Step-wise MLR do?
Enters everything and then removes those that aren't sig. contributing
What does a forward Step-wise MLR do?
Enters IVs with strongest r first and others afterwards only if they can explain sig. further variance