Question 1

The ______ measures the degree of covariation between two variables.

Accepted Answer

A)  correlation coefficient 
B)  covariance coefficient 
C)  alpha 
D)  multicollinearity 
E)  statistical significance 
A)  correlation coefficient 
B)  covariance coefficient 
C)  alpha 
D)  multicollinearity 
E)  statistical significance

Question 2

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

Accepted Answer

A)  correlation 
B)  statistically significant 
C)  covariation 
D)  linear 
E)  nonlinear 
A)  correlation 
B)  statistically significant 
C)  covariation 
D)  linear 
E)  nonlinear

Question 3

If all variables are analyzed together and the goal is to form groups or give meaning to a set of variables or respondents, the statistical technique is referred to as a(n) _____ method.

Accepted Answer

A)  dependence 
B)  interdependence 
C)  causal 
D)  quantitative 
E)  qualitative 
A)  dependence 
B)  interdependence 
C)  causal 
D)  quantitative 
E)  qualitative

Question 4

Which statistic represents the amount of variation explained or accounted for in one variable by one or more other variables, and it is the square of the correlation coefficient?

Accepted Answer

A)  Pearson correlation 
B)  coefficient of determination 
C)  Likert correlation 
D)  Spearman's rho 
E)  c2 
A)  Pearson correlation 
B)  coefficient of determination 
C)  Likert correlation 
D)  Spearman's rho 
E)  c2

Question 5

Which of the following assesses the statistical significance of the overall regression model?

Accepted Answer

A)  t statistic 
B)  Spearman's rho 
C)  correlation coefficient 
D)  R2 
E)  F-ratio 
A)  t statistic 
B)  Spearman's rho 
C)  correlation coefficient 
D)  R2 
E)  F-ratio

Question 6

The _____ method minimizes the distances from the straight line to all the points on a scatter diagram. It measures these distances by looking at the errors in predicting Y from X and minimizes the sum of the squared deviations between the actual values and the straight line predicted by the regression.

Accepted Answer

A)  minimal squares 
B)  least squares 
C)  r-squared 
D)  regression sum of squares 
E)  residual sum of squares 
A)  minimal squares 
B)  least squares 
C)  r-squared 
D)  regression sum of squares 
E)  residual sum of squares

Question 7

The proportion of the variability in the dependent variable that can be explained by the several independent variables in the regression model is known as the _____.

Accepted Answer

A)  multiple coefficient of determination 
B)  standardized beta 
C)  correlation coefficient 
D)  Pearson's rho 
E)  VIF 
A)  multiple coefficient of determination 
B)  standardized beta 
C)  correlation coefficient 
D)  Pearson's rho 
E)  VIF

Question 8

_____ is when one variable consistently and systematically changes relative to another variable.

Accepted Answer

A)  Correlation 
B)  Statistical significance 
C)  Covariation 
D)  Linearity 
E)  Nonlinearity 
A)  Correlation 
B)  Statistical significance 
C)  Covariation 
D)  Linearity 
E)  Nonlinearity

Question 9

Control variables are used to measure the impact of a specific independent variable above and beyond the effects of other independent variables.

Accepted Answer

A) True 
 B)False

Question 10

Which of the following is a basic concept we need to understand about relationships between variables?

Accepted Answer

A)  relationship presence 
B)  the nature of relationships 
C)  direction of relationships 
D)  strength of association 
E)  all of these choices 
A)  relationship presence 
B)  the nature of relationships 
C)  direction of relationships 
D)  strength of association 
E)  all of these choices

Question 11

Which of the following tell us how much of the variance in the dependent variable is explained by the independent variable in regression?

Accepted Answer

A)  regression coefficient 
B)  F-ratio 
C)  t statistic 
D)  Spearman's rho 
E)  VIF 
A)  regression coefficient 
B)  F-ratio 
C)  t statistic 
D)  Spearman's rho 
E)  VIF

Question 12

Frank has hypothesized a relationship between two variables, but he cannot predict the direction of the hypothesized relationship. Which of the following is appropriate in this situation?

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 13

_____ is a method of adjusting for different units of measure across variables.

Accepted Answer

A)  Multicollinearity 
B)  Standardization 
C)  Correlation 
D)  Coefficient of determination 
E)  Adjusted R2 
A)  Multicollinearity 
B)  Standardization 
C)  Correlation 
D)  Coefficient of determination 
E)  Adjusted R2

Question 14

A _____ relationship, often referred to as curvilinear, is one in which the relationship is best described by a curve instead of a straight line.

Accepted Answer

A)  correlation 
B)  statistically significant 
C)  covariation 
D)  linear 
E)  nonlinear 
A)  correlation 
B)  statistically significant 
C)  covariation 
D)  linear 
E)  nonlinear

Question 15

Which of the following is the coefficient of determination?

Accepted Answer

A)  β 
B)  χ2 
C)  c2 
D)  F 
E)  r2  
A)  β 
B)  χ2 
C)  c2 
D)  F 
E)  r2

Question 16

Explain the relationship between explained and unexplained variance in regression.

Accepted Answer

The answer of Explain the relationship between explained and unexplained...

Question 17

Sam wants to visually display the covariation between two variables. What should he use?

Accepted Answer

A)  residual plot 
B)  normal distribution 
C)  scatter diagram 
D)  histogram 
E)  frequency distribution 
A)  residual plot 
B)  normal distribution 
C)  scatter diagram 
D)  histogram 
E)  frequency distribution

Question 18

Billy has a dependent variable that is measured with ratio data. All of the following are statistical techniques that would be appropriate for him to use EXCEPT _____.

Accepted Answer

A)  multiple regression 
B)  ANOVA 
C)  discriminant analysis 
D)  correlation analysis 
E)  all of the above are appropriate 
A)  multiple regression 
B)  ANOVA 
C)  discriminant analysis 
D)  correlation analysis 
E)  all of the above are appropriate

Question 19

All of the following are assumptions of simple regression EXCEPT _____.

Accepted Answer

A)  linear relationship 
B)  causality 
C)  metric measures 
D)  normally distributed population 
E)  independent and normally distributed error terms 
A)  linear relationship 
B)  causality 
C)  metric measures 
D)  normally distributed population 
E)  independent and normally distributed error terms

Question 20

This type of regression has a single metric dependent variable and a single metric independent variable.

Accepted Answer

A)  ANOVA 
B)  Multiple regression 
C)  Bivariate regression 
D)  Univariate regression 
E)  MANOVA regression 
A)  ANOVA 
B)  Multiple regression 
C)  Bivariate regression 
D)  Univariate regression 
E)  MANOVA regression

The ______ measures the degree of covariation between two variables.

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

If all variables are analyzed together and the goal is to form groups or give meaning to a set of variables or respondents, the statistical technique is referred to as a(n) _____ method.

Which statistic represents the amount of variation explained or accounted for in one variable by one or more other variables, and it is the square of the correlation coefficient?

Which of the following assesses the statistical significance of the overall regression model?

The proportion of the variability in the dependent variable that can be explained by the several independent variables in the regression model is known as the _____.

_____ is when one variable consistently and systematically changes relative to another variable.

Control variables are used to measure the impact of a specific independent variable above and beyond the effects of other independent variables.

Which of the following is a basic concept we need to understand about relationships between variables?

Which of the following tell us how much of the variance in the dependent variable is explained by the independent variable in regression?

Frank has hypothesized a relationship between two variables, but he cannot predict the direction of the hypothesized relationship. Which of the following is appropriate in this situation?

_____ is a method of adjusting for different units of measure across variables.

A _____ relationship, often referred to as curvilinear, is one in which the relationship is best described by a curve instead of a straight line.

Which of the following is the coefficient of determination?

Explain the relationship between explained and unexplained variance in regression.

Sam wants to visually display the covariation between two variables. What should he use?

Billy has a dependent variable that is measured with ratio data. All of the following are statistical techniques that would be appropriate for him to use EXCEPT _____.

All of the following are assumptions of simple regression EXCEPT _____.

This type of regression has a single metric dependent variable and a single metric independent variable.

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

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Exam 14: Examining Relationships Using Correlation and Regression

The ______ measures the degree of covariation between two variables.

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

If all variables are analyzed together and the goal is to form groups or give meaning to a set of variables or respondents, the statistical technique is referred to as a(n) _____ method.

Which statistic represents the amount of variation explained or accounted for in one variable by one or more other variables, and it is the square of the correlation coefficient?

Which of the following assesses the statistical significance of the overall regression model?

The proportion of the variability in the dependent variable that can be explained by the several independent variables in the regression model is known as the _____.

_____ is when one variable consistently and systematically changes relative to another variable.

Control variables are used to measure the impact of a specific independent variable above and beyond the effects of other independent variables.

Which of the following is a basic concept we need to understand about relationships between variables?

Which of the following tell us how much of the variance in the dependent variable is explained by the independent variable in regression?

Frank has hypothesized a relationship between two variables, but he cannot predict the direction of the hypothesized relationship. Which of the following is appropriate in this situation?

_____ is a method of adjusting for different units of measure across variables.

A _____ relationship, often referred to as curvilinear, is one in which the relationship is best described by a curve instead of a straight line.

Which of the following is the coefficient of determination?

Explain the relationship between explained and unexplained variance in regression.

Sam wants to visually display the covariation between two variables. What should he use?

Billy has a dependent variable that is measured with ratio data. All of the following are statistical techniques that would be appropriate for him to use EXCEPT _____.

All of the following are assumptions of simple regression EXCEPT _____.

This type of regression has a single metric dependent variable and a single metric independent variable.

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