Multiple Regression Flashcards
What is Multiple Regression?
allows us to evaluate relationships between Outcome (DV) and 2+ Predictor Variables
In a Multiple Regression, is the DV Catagorical or Continuous?
Continuous
In a Multiple Regression, how many IV’s are there?
2+
In a Multiple Regression, are the 2+ IV’s Catagorical or Continous?
Continous or Categorical but Categorical IV with > 2 Levels needs Dummy Coding
How much ___ is explained in the DV by the IVs combined? (and is this ____ )
varience, significant
Which IVs are the most important for ____ ?
prediction
Which IVs explain the most _____ _____ in the DV?
unique varience
For Hierachical Regression: how much ____ varience in the DV is explained by IV3 & IV4, after controling for ___ & ___? (and is this _____ ?)
unique, IV1, IV2, significant
Correlation is known as _ and tells us what two things?
r: strength & direction
Multiple Correlation (Multiple R) is the
Overall relationship between IVs and DV
What are beta-weights?
Beta: standardized regression co-efficient (the slope)
semi-partial
sr2
R squared (R2) tells us
the amount of varience in the DV as predicted by ALL the IVs
b-weights are
unstandardized coefficents, the change in the DV for a1 unit change in the IV
Another name for error term?
Residual Variance
Define the Error Term
The difference between the actual and predicted scores on the DV
What four types of questions can be answered with a MR?
Combined Predictive Utility, Importance of the IVs, Uniqueness, Improvement in Prediction
What kind of MR questions are around Combined Predictive Utility?
How much of the variability in the DV is explained by knowing IV1 and IV2
What kind of MR questions are around the Importance of the IVS
Which variable (IV1 or IV2) is the best predictor of the DV?
What kind of MR question can be answered with the Uniqueness
How much of the Unique varience in record sales does each independent variable explain?
What kind of MR question can be answered with Improvement in Prediction?
Can we improve the prediction of a DV by adding 1 or more IV’s to the equation?
