Chapter 14

Question 1

Big R squared

Answer 1

Multiple Correlation

Question 2

2 main applications of multivariate techniques

Answer 2

partial correlation
multiple regression

Question 3

partial correlation

Answer 3

examine how a bivariate relationship changes when a control variable(s) is introduced (meaning a third or more)

Question 4

Multiple Regression

Answer 4

Asses the effects of two or more independent variables on the dependent variable

Question 5

Zero Order Correlation

Answer 5

how coefficients are correlated through calculations of bivariate relationships

Question 6

If the partial correlation is different from the zero-order correlation, then

Answer 6

the third variable has to affect the bivariate relationship

Question 7

Direct relationship

Answer 7

X —> Y

Question 8

Intervening relationship

Answer 8

X –> Z –> Y

Question 9

Spurious Relationship

Answer 9

Y
Z
X

Z can lead to either X or Y

Question 10

What is the correlation Matrix often used for

Answer 10

to build a bivariate table for correlation coefficients between all possible pairs of variables

Question 11

Correlation Matrix

Answer 11

-Overview of interrelationships in the data and may suggest how to dive deeper
-Detect high correlation between two or more independent variables

Question 12

2 things multiple regression and correlation allows us to do

Answer 12

(regression) disentangle the separate effects of each independent variable
(correlation) asses the combined effects of the independent variables on Y

Question 13

What types of variables does the least-squares regression equation involve

Answer 13

at least 2 independent variables

Question 14

How many times does partial slope need to be calulated

Answer 14

How many variables there are
3 variables = 3 calculations

Question 15

What do beta-weights show

Answer 15

the amount of change in the standardized scores of Y for a one-unit change in the scores of each independent variable

Question 16

What does the coefficient of multiple determination show

Answer 16

the combined effect of all independent variables on the dependent variable

Question 17

Partial Slope

Answer 17

amount of change in the dependent variable Y associated with a unit of change in the independent variable X while controlling for the effects of the other independent variables

Question 18

Standardized partial slope

Answer 18

Amount of change int he standardized scores of Y for a one-unit change in the standardized scores of each independent variable while controlling the effects of all other independent variables

Question 19

Coefficient of multiple determination

Answer 19

proportion of the variance in Y that is explained by all the independent variables combined