Multiple Regression

Question 1

What is Multiple Regression?

Answer 1

allows us to evaluate relationships between Outcome (DV) and 2+ Predictor Variables

Question 2

In a Multiple Regression, is the DV Catagorical or Continuous?

Answer 2

Continuous

Question 3

In a Multiple Regression, how many IV’s are there?

Answer 3

2+

Question 4

In a Multiple Regression, are the 2+ IV’s Catagorical or Continous?

Answer 4

Continous or Categorical but Categorical IV with > 2 Levels needs Dummy Coding

Question 5

How much ___ is explained in the DV by the IVs combined? (and is this ____ )

Answer 5

varience, significant

Question 6

Which IVs are the most important for ____ ?

Answer 6

prediction

Question 7

Which IVs explain the most _____ _____ in the DV?

Answer 7

unique varience

Question 8

For Hierachical Regression: how much ____ varience in the DV is explained by IV3 & IV4, after controling for ___ & ___? (and is this _____ ?)

Answer 8

unique, IV1, IV2, significant

Question 9

Correlation is known as _ and tells us what two things?

Answer 9

r: strength & direction

Question 10

Multiple Correlation (Multiple R) is the

Answer 10

Overall relationship between IVs and DV

Question 11

What are beta-weights?

Answer 11

Beta: standardized regression co-efficient (the slope)

Question 12

semi-partial

Answer 12

sr2

Question 13

R squared (R2) tells us

Answer 13

the amount of varience in the DV as predicted by ALL the IVs

Question 14

b-weights are

Answer 14

unstandardized coefficents, the change in the DV for a1 unit change in the IV

Question 15

Another name for error term?

Answer 15

Residual Variance

Question 16

Define the Error Term

Answer 16

The difference between the actual and predicted scores on the DV

Question 17

What four types of questions can be answered with a MR?

Answer 17

Combined Predictive Utility, Importance of the IVs, Uniqueness, Improvement in Prediction

Question 18

What kind of MR questions are around Combined Predictive Utility?

Answer 18

How much of the variability in the DV is explained by knowing IV1 and IV2

Question 19

What kind of MR questions are around the Importance of the IVS

Answer 19

Which variable (IV1 or IV2) is the best predictor of the DV?

Question 20

What kind of MR question can be answered with the Uniqueness

Answer 20

How much of the Unique varience in record sales does each independent variable explain?

Question 21

What kind of MR question can be answered with Improvement in Prediction?

Answer 21

Can we improve the prediction of a DV by adding 1 or more IV’s to the equation?