Question 1

In hierarchical cluster analysis, objects can leave one cluster and join another, as clusters are being formed until they are finalised.

Accepted Answer

A) True 
 B)False

Question 2

When a researcher is attempting to predict sales volume by using building permits, amount of advertising and the income levels of residents, he or she is using:

Accepted Answer

A)  factor analysis. 
B)  logistic regression analysis. 
C)  multiple regression analysis. 
D)  multiple discriminant analysis. 
A)  factor analysis. 
B)  logistic regression analysis. 
C)  multiple regression analysis. 
D)  multiple discriminant analysis.

Question 3

Partial correlation analysis allows the measurement of the association between two curvilinear variables after controlling for the effects of other variables.

Accepted Answer

A) True 
 B)False

Question 4

Multicollinearity exists when two or more independent variables are highly correlated with each other, causing the regression estimates to be unreliable.

Accepted Answer

A) True 
 B)False

Question 5

In multidimensional scaling, the labelling of the dimension axis is statistically determined.

Accepted Answer

A) True 
 B)False

Question 6

When using interdependence methods of analysis, no one variable is to be predicted from or explained by the other variables.

Accepted Answer

A) True 
 B)False

Question 7

To facilitate market segmentation by identifying subjects or individuals who have similar needs, lifestyles or responses to marketing strategies, which of the following statistical procedures would be appropriate?

Accepted Answer

A)  Multidimensional scaling 
B)  Discriminant analysis 
C)  Cluster analysis 
D)  Factor analysis 
A)  Multidimensional scaling 
B)  Discriminant analysis 
C)  Cluster analysis 
D)  Factor analysis

Question 8

In factor analysis, which of the following provides a means for interpreting and labelling the factors?

Accepted Answer

A)  Factor scores 
B)  Eigenvalues 
C)  Factor loadings 
D)  Communalities 
A)  Factor scores 
B)  Eigenvalues 
C)  Factor loadings 
D)  Communalities

Question 9

In an n-way cross tabulation, the independent variable(s) are ______ and the dependent variable(s) are ______.

Accepted Answer

A)  metric; nonmetric 
B)  metric; metric 
C)  nonmetric; metric 
D)  nonmetric; nonmetric 
A)  metric; nonmetric 
B)  metric; metric 
C)  nonmetric; metric 
D)  nonmetric; nonmetric

Question 10

In factor analysis, the factor loadings are correlations of each original variable with the factor.

Accepted Answer

A) True 
 B)False

Question 11

Hierarchical cluster analysis works very well when dealing with a relatively large number of cases.

Accepted Answer

A) True 
 B)False

Question 12

In multiple regression, parameter estimates become highly reliable when independent variables are highly correlated with each other.

Accepted Answer

A) True 
 B)False

Question 13

If the analysis contains several independent variables that are nonmetric and a dependent variable that is nonmetric then the appropriate statistical technique is:

Accepted Answer

A)  multiple regression analysis. 
B)  multiple discriminant analysis. 
C)  n-way univariate ANOVA. 
D)  n-way cross tabulation. 
A)  multiple regression analysis. 
B)  multiple discriminant analysis. 
C)  n-way univariate ANOVA. 
D)  n-way cross tabulation.

Question 14

All of the following are examples of interdependence methods of analysis, except:

Accepted Answer

A)  factor analysis. 
B)  cluster analysis. 
C)  multidimensional scaling. 
D)  discriminant analysis. 
A)  factor analysis. 
B)  cluster analysis. 
C)  multidimensional scaling. 
D)  discriminant analysis.

Question 15

All of the following are examples of dependence methods of analysis, except:

Accepted Answer

A)  multiple regression analysis. 
B)  multiple discriminant analysis. 
C)  exploratory factor analysis. 
D)  multivariate analysis of variance. 
A)  multiple regression analysis. 
B)  multiple discriminant analysis. 
C)  exploratory factor analysis. 
D)  multivariate analysis of variance.

Question 16

If a researcher wishes to discover natural groups of variables, he or she should use:

Accepted Answer

A)  factor analysis. 
B)  cluster analysis. 
C)  discriminant analysis. 
D)  logistic regression analysis. 
A)  factor analysis. 
B)  cluster analysis. 
C)  discriminant analysis. 
D)  logistic regression analysis.

Question 17

In a prestige car study, respondents were asked to rate the similarity of a BMW to a Mercedes, a Jaguar and other vehicles. Which statistical procedure would you recommend to analyse the data collected?

Accepted Answer

A)  Multidimensional scaling 
B)  Discriminant analysis 
C)  Cluster analysis 
D)  Conjoint analysis 
A)  Multidimensional scaling 
B)  Discriminant analysis 
C)  Cluster analysis 
D)  Conjoint analysis

Question 18

A type of graphical representation that helps the researcher to decide how many groups are appropriate is called a:

Accepted Answer

A)  perceptual map. 
B)  dendogram. 
C)  crosstabulation. 
D)  correlation matrix. 
A)  perceptual map. 
B)  dendogram. 
C)  crosstabulation. 
D)  correlation matrix.

Question 19

Which of the following is not an interdependence method of analysis?

Accepted Answer

A)  Exploratory factor analysis 
B)  Discriminant analysis 
C)  Cluster analysis 
D)  Multidimensional scaling 
A)  Exploratory factor analysis 
B)  Discriminant analysis 
C)  Cluster analysis 
D)  Multidimensional scaling

Question 20

In multiple regression, comparing the coefficients will identify which independent variable has the greatest influence on the dependent variable.

Accepted Answer

A) True 
 B)False

In hierarchical cluster analysis, objects can leave one cluster and join another, as clusters are being formed until they are finalised.

When a researcher is attempting to predict sales volume by using building permits, amount of advertising and the income levels of residents, he or she is using:

Partial correlation analysis allows the measurement of the association between two curvilinear variables after controlling for the effects of other variables.

Multicollinearity exists when two or more independent variables are highly correlated with each other, causing the regression estimates to be unreliable.

In multidimensional scaling, the labelling of the dimension axis is statistically determined.

When using interdependence methods of analysis, no one variable is to be predicted from or explained by the other variables.

To facilitate market segmentation by identifying subjects or individuals who have similar needs, lifestyles or responses to marketing strategies, which of the following statistical procedures would be appropriate?

In factor analysis, which of the following provides a means for interpreting and labelling the factors?

In an n-way cross tabulation, the independent variable(s) are and the dependent variable(s) are .

In factor analysis, the factor loadings are correlations of each original variable with the factor.

Hierarchical cluster analysis works very well when dealing with a relatively large number of cases.

In multiple regression, parameter estimates become highly reliable when independent variables are highly correlated with each other.

If the analysis contains several independent variables that are nonmetric and a dependent variable that is nonmetric then the appropriate statistical technique is:

All of the following are examples of interdependence methods of analysis, except:

All of the following are examples of dependence methods of analysis, except:

If a researcher wishes to discover natural groups of variables, he or she should use:

In a prestige car study, respondents were asked to rate the similarity of a BMW to a Mercedes, a Jaguar and other vehicles. Which statistical procedure would you recommend to analyse the data collected?

A type of graphical representation that helps the researcher to decide how many groups are appropriate is called a:

Which of the following is not an interdependence method of analysis?

In multiple regression, comparing the coefficients will identify which independent variable has the greatest influence on the dependent variable.

The Role of Marketing Research and the Research Process

Problem Definition and the Research Process

Qualitative Research

Secondary Research and Big Data

Survey Research

Observation

Experimental Research and Test Marketing

Measurement

Questionnaire Design

Sampling: Sample Design and Sample Size

Data Preparation

Univariate Statistical Analysis: a Recap of Inferential Statistics

Bivariate Statistical Analysis: Tests of Differences

Bivariate Statistical Analysis: Tests of Association

Communicating Research Results: Research Report, Oral Presentation and Research Follow-Up

Filters

Exam 15: Multivariate Statistical Analysis

In hierarchical cluster analysis, objects can leave one cluster and join another, as clusters are being formed until they are finalised.

When a researcher is attempting to predict sales volume by using building permits, amount of advertising and the income levels of residents, he or she is using:

Partial correlation analysis allows the measurement of the association between two curvilinear variables after controlling for the effects of other variables.

Multicollinearity exists when two or more independent variables are highly correlated with each other, causing the regression estimates to be unreliable.

In multidimensional scaling, the labelling of the dimension axis is statistically determined.

When using interdependence methods of analysis, no one variable is to be predicted from or explained by the other variables.

To facilitate market segmentation by identifying subjects or individuals who have similar needs, lifestyles or responses to marketing strategies, which of the following statistical procedures would be appropriate?

In factor analysis, which of the following provides a means for interpreting and labelling the factors?

In an n-way cross tabulation, the independent variable(s) are ______ and the dependent variable(s) are ______.

In factor analysis, the factor loadings are correlations of each original variable with the factor.

Hierarchical cluster analysis works very well when dealing with a relatively large number of cases.

In multiple regression, parameter estimates become highly reliable when independent variables are highly correlated with each other.

If the analysis contains several independent variables that are nonmetric and a dependent variable that is nonmetric then the appropriate statistical technique is:

All of the following are examples of interdependence methods of analysis, except:

All of the following are examples of dependence methods of analysis, except:

If a researcher wishes to discover natural groups of variables, he or she should use:

In a prestige car study, respondents were asked to rate the similarity of a BMW to a Mercedes, a Jaguar and other vehicles. Which statistical procedure would you recommend to analyse the data collected?

A type of graphical representation that helps the researcher to decide how many groups are appropriate is called a:

Which of the following is not an interdependence method of analysis?

In multiple regression, comparing the coefficients will identify which independent variable has the greatest influence on the dependent variable.

The Role of Marketing Research and the Research Process

Problem Definition and the Research Process

Qualitative Research

Secondary Research and Big Data

Survey Research

Observation

Experimental Research and Test Marketing

Measurement

Questionnaire Design

Sampling: Sample Design and Sample Size

Data Preparation

Univariate Statistical Analysis: a Recap of Inferential Statistics

Bivariate Statistical Analysis: Tests of Differences

Bivariate Statistical Analysis: Tests of Association

Communicating Research Results: Research Report, Oral Presentation and Research Follow-Up

Filters

In an n-way cross tabulation, the independent variable(s) are and the dependent variable(s) are .