Week 9- Multiple Regression 2

Question 1

Stepwise multiple regression..
A) SPSS selects which variables are entered
B) experimenter decides the entry order
C) All predictors entered simultaneously

Answer 1

A) SPSS selects which variables are entered

Question 2

Hierarchial multiple regression
A) SPSS selects which variables are entered
B) experimenter decides the entry order
C) All predictors entered simultaneously

Answer 2

B) experimenter decides the entry order

Question 3

Forces entry multiple regression
A) SPSS selects which variables are entered
B) experimenter decides the entry order
C) All predictors entered simultaneously

Answer 3

C) All predictors entered simultaneously

Question 4

Once force entry has been run,.... all variables with p>0.1 ad the re run.. 
A) keep 
B) manipulate 
C)remove
D) square root

Answer 4

C) remove

Question 5

Within hierarchical regression data entry should be based on..
A) previous research 
B) Theory 
C) feelings 
D) a,b

Answer 5

c) a, b

Question 6

The square root of the ‘variance inflation factor’ (VIF) tells you how much larger the standard error is, compared with what it would be if the IVs in model were uncorrelated with each other. TRUE OR FALSE

Answer 6

TRUE

Question 7

Largest VIF should be..
A) >10
B)<10
C)<5
C)<20

Answer 7

B)<10

Question 8

if two VIF are > 5 you should..
A) remove one IV
B) add one IV
C) square root IV
D) stop research

Answer 8

A) remove one IV

Question 9

Average VIF should not be considerably..
A)>10
B) <0
C) >1 
D)>5

Answer 9

C)>1

Question 10

heteroscedasicity is.. 
A) norm distribution 
B) + association 
C) funnelling/ fanning 
D) no relationship

Answer 10

C) funnelling/ fanning

Question 11

In a normal sample, 95% cases should have standardised residuals within..
A) +- 2
B)+- 1
C)+- 5
D)+-3

Answer 11

A+-2