Week 8-Multiple regression Flashcards
1
Q
Correlation coefficient (r) can be between.. A)-1 to +1 B)-1 to 0 C) +1 to +2 D) -2 to + 2
A
A)-1 to +1
2
Q
r=1.00 (-) A) perfect B) strong C) mod-strong D)mod
A
A) perfect
3
Q
r=0.70 (-) A) perfect B) strong C) mod-strong D)mod
A
B) strong
4
Q
r=0.50 (-) A) perfect B) strong C) mod-strong D)mod
A
C)mod-strong
5
Q
r=0.30 (-) A) perfect B) strong C) mod-strong D)mod
A
D)moderate
6
Q
r=0.10 (-) A)mod B) weak C)none D) little
A
B)weak
7
Q
r=0.00 (-) A)mod B) weak C)none D) little
A
C) no relationship
8
Q
regression equation allow us to see how much of the variance in one variable is explained by the other, TRUE OR FALSE
A
TRUE
9
Q
IN BIVARIATE regression what is squared to see the prediction?
A
r (correlation coefficient)
10
Q
regression equation
A
Y=b0 + b1X1
11
Q
Y= A) dependant variable B) independent variable C) intercept of Y axis D) slope/ regression coefficient
A
A) DV
12
Q
X1 is.. A) dependant variable B) independent variable C) intercept of Y axis D) slope/ regression coefficient
A
B)IV
13
Q
b0= A) dependant variable B) independent variable C) intercept of Y axis D) slope/ regression coefficient
A
C) intercept of the Y axis
14
Q
b1 is.. A) dependant variable B) independent variable C) intercept of Y axis D) slope/ regression coefficient
A
D) slope/ regression coefficient
15
Q
R squared= 0.30 what % is explained? A) 30% B) 70% C) 3% D) 33%
A
A)30%
16
Q
SEE (standard error of estimate) = SD of residuals…
SEE= 4.51753..
What would you multiply this by to see the +/- of the predictions for 95% real life values.
A) 1.96
B) 9.5
C) squared
A
A) 1.96
17
Q
Multiple regression equation..
A
Y=b0=b1x1 + b2x2
18
Q
b2 is…
A
regression coefficient for X2
