Question 1

If Darlene finds that R2 = .81, what is her R value?

Accepted Answer

A) 9 
B) .81 
C) 81 
D) .9 
A) 9 
B) .81 
C) 81 
D) .9

Question 2

Match each of the following terms with the correct statement.
-Partial Regression Coefficient

Accepted Answer

A) Indicates what proportion of the variability in a dependent variable can be predicted by its relationship with an independent variable(s). 
B) Regression is a member of this family of statistics. 
C) Value in a multiple linear regression that helps explain the degree to which a dependent variable takes varying values and can be interpreted as a correlation. 
A) Indicates what proportion of the variability in a dependent variable can be predicted by its relationship with an independent variable(s). 
B) Regression is a member of this family of statistics. 
C) Value in a multiple linear regression that helps explain the degree to which a dependent variable takes varying values and can be interpreted as a correlation.

Question 3

Which of the following is NOT a basic assumption of regression?

Accepted Answer

A) Both the independent variable(s) and dependent variable should be interval. 
B) The sample need not be random. 
C) Scores for each variable being compared must be obtained from each participant. 
D) The cases represent scores that are independent of each other from one participant in your sample to the next participant. 
A) Both the independent variable(s) and dependent variable should be interval. 
B) The sample need not be random. 
C) Scores for each variable being compared must be obtained from each participant. 
D) The cases represent scores that are independent of each other from one participant in your sample to the next participant.

Question 4

For the following questions, use the regression results presented below. The independent variables in this study were willingness to communicate, communication apprehension, nonverbal immediacy, and communication competence. The dependent variable was body dysmorphia, a disorder where a person is unhealthily preoccupied with one's physical appearance or specific aspects of one's physical appearance.

-In the multiple linear regression presented, what was the N?

Accepted Answer

A) 199 
B) 195 
C) 4 
D) 400 
A) 199 
B) 195 
C) 4 
D) 400

Question 5

If R2 = .821, 25% of the variance in the dependent variable cannot be predicted by the independent variable(s).

Accepted Answer

A) True 
 B)False

Question 6

A simple linear regression allows researchers to determine how a number of independent variables collectively account for variance in a single dependent variable.

Accepted Answer

A) True 
 B)False

Question 7

Samantha calculated a multiple linear regression. She found an R value of .25. How much variance is she accounting for?

Accepted Answer

A) 5% 
B) 25% 
C) .05% 
D) .25% 
A) 5% 
B) 25% 
C) .05% 
D) .25%

Question 8

For the following questions, use the regression results presented below. The independent variables in this study were willingness to communicate, communication apprehension, nonverbal immediacy, and communication competence. The dependent variable was body dysmorphia, a disorder where a person is unhealthily preoccupied with one's physical appearance or specific aspects of one's physical appearance.

-In the multiple linear regression presented, which of the following statements is correct?

Accepted Answer

A) The multiple linear regression was statistically significant. 
B) The multiple linear regression was not statistically significant. 
C) The multiple linear regression reported a large effect size. 
D) The multiple linear regression reported a small effect size. 
A) The multiple linear regression was statistically significant. 
B) The multiple linear regression was not statistically significant. 
C) The multiple linear regression reported a large effect size. 
D) The multiple linear regression reported a small effect size.

Question 9

Which of the following is a mathematical adjustment to R2 that attempts to more accurately reflect the goodness of fit in the overall linear regression?

Accepted Answer

A) adjusted R2 
B) R2 
C) critical value 
D) sum or squares 
A) adjusted R2 
B) R2 
C) critical value 
D) sum or squares

Question 10

Interpret the results of the regression that are provided below. This study examined the relationships between stereotypes of flight attendants, ethnocentrism, and homonegative and the belief that all flight attendants should be female.

Accepted Answer

The answer of Interpret the results of the regression that...

Question 11

Which of the following indicates the difference between correlations and regression?

Accepted Answer

A) Correlation utilizes nominal variables, and regression does not. 
B) Regression utilizes nominal variables, and correlation does not. 
C) Correlation allows for analysis of multiple variables, and regression does not. 
D) Correlation does not require that one knows which variable is dependent or independent, and regression does require specificity of independent and dependent variables. 
A) Correlation utilizes nominal variables, and regression does not. 
B) Regression utilizes nominal variables, and correlation does not. 
C) Correlation allows for analysis of multiple variables, and regression does not. 
D) Correlation does not require that one knows which variable is dependent or independent, and regression does require specificity of independent and dependent variables.

Question 12

What combination of variables do you need to have to calculate a multiple linear regression?

Accepted Answer

A) 2 or more interval/ratio independent variables, 1 interval/ratio dependent variable 
B) 2 or more interval/ratio independent variables, 2 interval/ratio dependent variables 
C) 1 interval/ratio independent variable, 1 interval/ratio dependent variable 
D) 1 interval/ratio independent variable, 2 or more interval/ratio dependent variables 
A) 2 or more interval/ratio independent variables, 1 interval/ratio dependent variable 
B) 2 or more interval/ratio independent variables, 2 interval/ratio dependent variables 
C) 1 interval/ratio independent variable, 1 interval/ratio dependent variable 
D) 1 interval/ratio independent variable, 2 or more interval/ratio dependent variables

Question 13

If you have multiple interval/ratio variables and you want to determine if they account for unique variance in a single interval/ratio variable, which is the most appropriate test to conduct?

Accepted Answer

A) one-way ANOVA 
B) correlations 
C) simple linear regression 
D) multiple linear regression 
A) one-way ANOVA 
B) correlations 
C) simple linear regression 
D) multiple linear regression

Question 14

The regression test is part of which family of statistical tests?

Accepted Answer

A) general linear model family 
B) general variance model family 
C) general relationship model family 
D) general regression model family 
A) general linear model family 
B) general variance model family 
C) general relationship model family 
D) general regression model family

If Darlene finds that R²= .81, what is her R value?

Match each of the following terms with the correct statement. -Partial Regression Coefficient

Which of the following is NOT a basic assumption of regression?

If R²= .821, 25% of the variance in the dependent variable cannot be predicted by the independent variable(s).

A simple linear regression allows researchers to determine how a number of independent variables collectively account for variance in a single dependent variable.

Samantha calculated a multiple linear regression. She found an R value of .25. How much variance is she accounting for?

Which of the following is a mathematical adjustment to R²that attempts to more accurately reflect the goodness of fit in the overall linear regression?

Interpret the results of the regression that are provided below. This study examined the relationships between stereotypes of flight attendants, ethnocentrism, and homonegative and the belief that all flight attendants should be female.

Which of the following indicates the difference between correlations and regression?

What combination of variables do you need to have to calculate a multiple linear regression?

If you have multiple interval/ratio variables and you want to determine if they account for unique variance in a single interval/ratio variable, which is the most appropriate test to conduct?

The regression test is part of which family of statistical tests?

An Introduction to Communication Research

Empirical Research

Research Ethics

Searching for Previous Research and American Psychological Association Style

Research Structure and Literature Reviews

Variables

Measurement

Reliability and Validity

Survey Research

Content Analysis

Experimental Design

Sampling Methods

Hypothesis Testing

Descriptive Statistics

Chi-Square 2 Test of Independence

Independent Samples T Tests

One-Way Analysis of Variance

Correlation

Presenting Research

Statistical Tests and Concepts in Research Analysis

Filters

Exam 19: Regression

If Darlene finds that R2 = .81, what is her R value?

Match each of the following terms with the correct statement. -Partial Regression Coefficient

Which of the following is NOT a basic assumption of regression?

If R2 = .821, 25% of the variance in the dependent variable cannot be predicted by the independent variable(s).

A simple linear regression allows researchers to determine how a number of independent variables collectively account for variance in a single dependent variable.

Samantha calculated a multiple linear regression. She found an R value of .25. How much variance is she accounting for?

Which of the following is a mathematical adjustment to R2 that attempts to more accurately reflect the goodness of fit in the overall linear regression?

Interpret the results of the regression that are provided below. This study examined the relationships between stereotypes of flight attendants, ethnocentrism, and homonegative and the belief that all flight attendants should be female.

Which of the following indicates the difference between correlations and regression?

What combination of variables do you need to have to calculate a multiple linear regression?

If you have multiple interval/ratio variables and you want to determine if they account for unique variance in a single interval/ratio variable, which is the most appropriate test to conduct?

The regression test is part of which family of statistical tests?

An Introduction to Communication Research

Empirical Research

Research Ethics

Searching for Previous Research and American Psychological Association Style

Research Structure and Literature Reviews

Variables

Measurement

Reliability and Validity

Survey Research

Content Analysis

Experimental Design

Sampling Methods

Hypothesis Testing

Descriptive Statistics

Chi-Square 2 Test of Independence

Independent Samples T Tests

One-Way Analysis of Variance

Correlation

Presenting Research

Statistical Tests and Concepts in Research Analysis

Filters

If Darlene finds that R²= .81, what is her R value?

If R²= .821, 25% of the variance in the dependent variable cannot be predicted by the independent variable(s).

Which of the following is a mathematical adjustment to R²that attempts to more accurately reflect the goodness of fit in the overall linear regression?