Question 1

One reason to perform multiple regression analysis is to ______ for the effects of additional independent variables.

Accepted Answer

A)   eliminate
B)   alleviate
C)   minimize
D)   control D

Question 2

When two independent variables are closely related to each other it is difficult to measure the effects of each on the dependent variable.

Accepted Answer

A) True 
 B)False  True

Question 3

In a scatterplot, the ______ variable is measured on the horizontal axis and the ______ variable is on the vertical axis.

Accepted Answer

A)   dependent; independent
B)   independent; dependent
C)   dependent; intervening
D)   control; dependent B

Question 4

Researchers typically report the adjusted R-square value because they lack confidence in the actual R-square.

Accepted Answer

A) True 
 B)False

Question 5

In a multiple regression equation, the interaction effect is the multiplicative product of one independent variable.

Accepted Answer

A) True 
 B)False

Question 6

If two variables are very closely related to one another they are said to have parsimony.

Accepted Answer

A) True 
 B)False

Question 7

The size and effect of the independent variable on the dependent variable is estimated by the regression coefficient.

Accepted Answer

A) True 
 B)False

Question 8

A bivariate analysis is used to analyze the relationship between a(n) ______.

Accepted Answer

A)   interval-level dependent variable and any independent variable at any level
B)   ordinal-level dependent variable and any independent variable at any level
C)   ratio-level dependent variable and any independent variable at any level
D)   nominal-level dependent variable and any independent variable at any level

Question 9

A researcher conducting a study of turnout in the fifty states finds a regression coefficient of .35. This tells the researcher that ______.

Accepted Answer

A)   turnout increases by .35 for each one unit increase in the independent variable
B)   turnout increases by .35 for each year a person ages
C)   turnout decreases by .35 for each one unit increase in the independent variable
D)   turnout increases by .35 for each one unit decrease in the independent variable

Question 10

A researcher is working with two variables measured at the interval level. Which statistical tool should the researcher use?

Accepted Answer

A)    χ\chiχ 2 analysis
B)   correlation analysis
C)   proportion analysis
D)   cross-tabulation

Question 11

Researchers typically use correlation analysis during the early stages of the research process.

Accepted Answer

A) True 
 B)False

Question 12

R2 always has a value between ______.

Accepted Answer

A)   1 and 2
B)   -1 and 1
C)   -1 and 0
D)   0 and 1

Question 13

If no relationship exists between variables, Pearson's r takes on the value of ______.

Accepted Answer

A)   -1
B)   0
C)   +1
D)   no value

Question 14

Pearson's r is a measure of association known as a correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 15

Multiple regression is both ______ and ______.

Accepted Answer

A)   linear; interactive
B)   linear; additive
C)   linear; regressive
D)   linear; spurious

Question 16

Pearson's r is a symmetrical measure of association between two variables.

Accepted Answer

A) True 
 B)False

Question 17

Correlation analysis produces a statistic that estimates the size of the effect of the independent variable on the dependent variable.

Accepted Answer

A) True 
 B)False

Question 18

A dummy variable takes on the value of 1 for cases having one value of the nominal or ordinal variable, and a value of 0 for cases falling into all other values of the variable.

Accepted Answer

A) True 
 B)False

Question 19

A Pearson's r value of .51 signifies a ______.

Accepted Answer

A)   weak negative relationship
B)   weak positive relationship
C)   moderate positive relationship
D)   moderate negative relationship

Question 20

The relationship between two variables is called ______.

Accepted Answer

A)   association
B)   affiliation
C)   correlation
D)   regression

Exam 8: Correlation and Linear Regression

One reason to perform multiple regression analysis is to ______ for the effects of additional independent variables.

When two independent variables are closely related to each other it is difficult to measure the effects of each on the dependent variable.

In a scatterplot, the variable is measured on the horizontal axis and the variable is on the vertical axis.

Researchers typically report the adjusted R-square value because they lack confidence in the actual R-square.

In a multiple regression equation, the interaction effect is the multiplicative product of one independent variable.

If two variables are very closely related to one another they are said to have parsimony.

The size and effect of the independent variable on the dependent variable is estimated by the regression coefficient.

A bivariate analysis is used to analyze the relationship between a(n) ______.

A researcher conducting a study of turnout in the fifty states finds a regression coefficient of .35. This tells the researcher that ______.

A researcher is working with two variables measured at the interval level. Which statistical tool should the researcher use?

Researchers typically use correlation analysis during the early stages of the research process.

R² always has a value between ______.

If no relationship exists between variables, Pearson's r takes on the value of ______.

Pearson's r is a measure of association known as a correlation coefficient.

Multiple regression is both and .

Pearson's r is a symmetrical measure of association between two variables.

Correlation analysis produces a statistic that estimates the size of the effect of the independent variable on the dependent variable.

A dummy variable takes on the value of 1 for cases having one value of the nominal or ordinal variable, and a value of 0 for cases falling into all other values of the variable.

A Pearson's r value of .51 signifies a ______.

The relationship between two variables is called ______.