Question 1

The square of the correlation coefficient is called the coefficient of determination or r2.

Accepted Answer

A) True 
 B)False  True

Question 2

Tim would like to calculate a correlation coefficient to assess the level of association for two metric variables in his database. Tim should use _____.

Accepted Answer

A)  Pearson correlation 
B)  Burkett's t 
C)  scatter diagram 
D)  Likert correlation 
E)  Spearman's rho 
A)  Pearson correlation 
B)  Burkett's t 
C)  scatter diagram 
D)  Likert correlation 
E)  Spearman's rho A

Question 3

Multivariate analysis involves using statistical methods to analyze multiple variables at the same time.

Accepted Answer

A) True 
 B)False  True

Question 4

The Pearson correlation ranges from _____.

Accepted Answer

A)  -5.00 to +5.00 
B)  0 to +1.00 
C)  -1.00 to + 1.00 
D)  1.00 to 2.00 
E)  1.00 to 5.00 
A)  -5.00 to +5.00 
B)  0 to +1.00 
C)  -1.00 to + 1.00 
D)  1.00 to 2.00 
E)  1.00 to 5.00

Question 5

A hierarchical multiple regression is a regression model in which the independent variables are entered in one stage.

Accepted Answer

A) True 
 B)False

Question 6

How does a researcher know when multicollinearity is too high?

Accepted Answer

A)  A sample correlation coefficient between two independent variables is greater than ±0.60. 
B)  The variance inflation factor equals zero. 
C)  The variance inflation factor is equal to 1. 
D)  The tolerance factor is high, such as greater than 1.0 
E)  The R2 is less than 20%. 
A)  A sample correlation coefficient between two independent variables is greater than ±0.60. 
B)  The variance inflation factor equals zero. 
C)  The variance inflation factor is equal to 1. 
D)  The tolerance factor is high, such as greater than 1.0 
E)  The R2 is less than 20%.

Question 7

Which of the following is used when you can predict the direction of your hypothesized relationship?

Accepted Answer

A)  unstandardized test 
B)  standardized test 
C)  one-tailed test 
D)  two-tailed test 
E)  multi-tailed test 
A)  unstandardized test 
B)  standardized test 
C)  one-tailed test 
D)  two-tailed test 
E)  multi-tailed test

Question 8

Explain the difference between bivariate regression and multiple regression. State the assumptions of both.

Accepted Answer

The answer of Explain the difference between bivariate regression and...

Question 9

A scatter diagram or scattergram plots the values of a variable for all observations within the sample.

Accepted Answer

A) True 
 B)False

Question 10

The square of the correlation coefficient is called _____.

Accepted Answer

A)  Pearson correlation 
B)  Burkett's t 
C)  coefficient of determination 
D)  Likert correlation 
E)  Spearman's rho 
A)  Pearson correlation 
B)  Burkett's t 
C)  coefficient of determination 
D)  Likert correlation 
E)  Spearman's rho

Question 11

A Pearson correlation measures the linear association between two metric variables.

Accepted Answer

A) True 
 B)False

Question 12

Statistical techniques can be divided into two broad categories, which are _____.

Accepted Answer

A)  linear and nonlinear 
B)  dependence and interdependence 
C)  dependent and independent 
D)  exploratory and confirmatory 
E)  bivariate and multivariate 
A)  linear and nonlinear 
B)  dependence and interdependence 
C)  dependent and independent 
D)  exploratory and confirmatory 
E)  bivariate and multivariate

Question 13

Multicollinearity in multiple regression analysis refers to _____.

Accepted Answer

A)  the correlation among the dependent variables 
B)  the correlation between the independent and dependent variables 
C)  level of significance of the model 
D)  the correlation among the independent variables 
E)  explained variance 
A)  the correlation among the dependent variables 
B)  the correlation between the independent and dependent variables 
C)  level of significance of the model 
D)  the correlation among the independent variables 
E)  explained variance

Question 14

The size of the correlation coefficient is used to quantitatively describe the _____.

Accepted Answer

A)  presence of a relationship 
B)  strength of the association 
C)  direction of the relationship 
D)  linearity of the relationship 
E)  multicollinearity of the relationship 
A)  presence of a relationship 
B)  strength of the association 
C)  direction of the relationship 
D)  linearity of the relationship 
E)  multicollinearity of the relationship

Question 15

_____ assesses whether a systematic relationship exists between two or more variables.

Accepted Answer

A)  Strength of association 
B)  Presence 
C)  Nature of relationships 
D)  Direction 
E)  Statistical significance 
A)  Strength of association 
B)  Presence 
C)  Nature of relationships 
D)  Direction 
E)  Statistical significance

Question 16

Univariate analysis involves statistically testing two variables.

Accepted Answer

A) True 
 B)False

Question 17

Which is NOT an assumption when using the Pearson correlation coefficient?

Accepted Answer

A)  the two variables are assumed to have been measured using metric measures 
B)  the two variables are assumed to have been measured using nonmetric measures 
C)  linear relationship 
D)  normal distribution 
E)  all of these choices are assumptions when using the Pearson correlation coefficient 
A)  the two variables are assumed to have been measured using metric measures 
B)  the two variables are assumed to have been measured using nonmetric measures 
C)  linear relationship 
D)  normal distribution 
E)  all of these choices are assumptions when using the Pearson correlation coefficient

Question 18

What is multicollinearity, why is it a problem, and what should a researcher do if it is detected?

Accepted Answer

The answer of What is multicollinearity, why is it a...

Question 19

Name and describe the four basic concepts we need to understand about relationships between variables.

Accepted Answer

The answer of Name and describe the four basic concepts...

Question 20

A linear relationship is a straight-line association between two or more variables.

Accepted Answer

A) True 
 B)False

The square of the correlation coefficient is called the coefficient of determination or r².

Tim would like to calculate a correlation coefficient to assess the level of association for two metric variables in his database. Tim should use _____.

Multivariate analysis involves using statistical methods to analyze multiple variables at the same time.

The Pearson correlation ranges from _____.

A hierarchical multiple regression is a regression model in which the independent variables are entered in one stage.

How does a researcher know when multicollinearity is too high?

Which of the following is used when you can predict the direction of your hypothesized relationship?

Explain the difference between bivariate regression and multiple regression. State the assumptions of both.

A scatter diagram or scattergram plots the values of a variable for all observations within the sample.

The square of the correlation coefficient is called _____.

A Pearson correlation measures the linear association between two metric variables.

Statistical techniques can be divided into two broad categories, which are _____.

Multicollinearity in multiple regression analysis refers to _____.

The size of the correlation coefficient is used to quantitatively describe the _____.

_____ assesses whether a systematic relationship exists between two or more variables.

Univariate analysis involves statistically testing two variables.

Which is NOT an assumption when using the Pearson correlation coefficient?

What is multicollinearity, why is it a problem, and what should a researcher do if it is detected?

Name and describe the four basic concepts we need to understand about relationships between variables.

A linear relationship is a straight-line association between two or more variables.

Business Research for the Twenty-First Century

Overview of the Research Process

Ethics in Business Research

Defining the Research Problem and Reviewing the Literature

The Nature and Sources of Secondary Business Data

Conceptualization and Research Design

Sampling Approaches and Considerations

Methods of Collecting Primary Data

Measurement and Scaling

Questionnaire Design

Basic Data Analysis for Qualitative Research

Basic Data Analysis for Quantitative Research

Testing Hypotheses in Quantitative Research

Other Multivariate Techiques

Reporting and Presenting Research

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Exam 14: Examining Relationships Using Correlation and Regression

The square of the correlation coefficient is called the coefficient of determination or r2.

Tim would like to calculate a correlation coefficient to assess the level of association for two metric variables in his database. Tim should use _____.

Multivariate analysis involves using statistical methods to analyze multiple variables at the same time.

The Pearson correlation ranges from _____.

A hierarchical multiple regression is a regression model in which the independent variables are entered in one stage.

How does a researcher know when multicollinearity is too high?

Which of the following is used when you can predict the direction of your hypothesized relationship?

Explain the difference between bivariate regression and multiple regression. State the assumptions of both.

A scatter diagram or scattergram plots the values of a variable for all observations within the sample.

The square of the correlation coefficient is called _____.

A Pearson correlation measures the linear association between two metric variables.

Statistical techniques can be divided into two broad categories, which are _____.

Multicollinearity in multiple regression analysis refers to _____.

The size of the correlation coefficient is used to quantitatively describe the _____.

_____ assesses whether a systematic relationship exists between two or more variables.

Univariate analysis involves statistically testing two variables.

Which is NOT an assumption when using the Pearson correlation coefficient?

What is multicollinearity, why is it a problem, and what should a researcher do if it is detected?

Name and describe the four basic concepts we need to understand about relationships between variables.

A linear relationship is a straight-line association between two or more variables.

Business Research for the Twenty-First Century

Overview of the Research Process

Ethics in Business Research

Defining the Research Problem and Reviewing the Literature

The Nature and Sources of Secondary Business Data

Conceptualization and Research Design

Sampling Approaches and Considerations

Methods of Collecting Primary Data

Measurement and Scaling

Questionnaire Design

Basic Data Analysis for Qualitative Research

Basic Data Analysis for Quantitative Research

Testing Hypotheses in Quantitative Research

Other Multivariate Techiques

Reporting and Presenting Research

Filters

The square of the correlation coefficient is called the coefficient of determination or r².