Question 1

There is no dependent variable in a factor analysis.

Accepted Answer

A) True 
 B)False  True

Question 2

Multiple discriminant analysis is useful when the dependent variable is metric.

Accepted Answer

A) True 
 B)False  False

Question 3

If a product manager wanted to see how his company's products are rated by consumers against competing products across several dimensions,the best procedure would be:

Accepted Answer

A) conjoint analysis. 
B) multiple regression analysis. 
C) perceptual mapping. 
D) cluster analysis. 
A) conjoint analysis. 
B) multiple regression analysis. 
C) perceptual mapping. 
D) cluster analysis. C

Question 4

Which of the following is not a part of using predictive analysis?

Accepted Answer

A) Acquiring a Data Set 
B) Pre-processing 
C) Modeling 
D) Validating Results 
E) All of these are a part 
A) Acquiring a Data Set 
B) Pre-processing 
C) Modeling 
D) Validating Results 
E) All of these are a part

Question 5

If the goal is to classify business travelers into distinct groups based on their responses to 20 questions on preferences to mode of transportation,hotel accommodation,and ethnic food,which of the following techniques would be most appropriate?

Accepted Answer

A) multiple regression analysis 
B) conjoint analysis 
C) cluster analysis 
D) factor analysis 
A) multiple regression analysis 
B) conjoint analysis 
C) cluster analysis 
D) factor analysis

Question 6

In the case of multiple regression analysis,the dependent variable must be ___________; in multiple discriminant analysis,the dependent variable is__________ in nature.

Accepted Answer

A) Metric; nonmetric 
B) Metric; nominal 
C) Nominal; categorical 
D) Categorical; nonmetric 
A) Metric; nonmetric 
B) Metric; nominal 
C) Nominal; categorical 
D) Categorical; nonmetric

Question 7

The type of conjoint approach used impacts how the exercise is presented and what
statistical procedures are most appropriate for analyzing the results.

Accepted Answer

A) True 
 B)False

Question 8

A client has a data set that would be appropriate for a linear model.He wants the resulting model to predict whether or not a person would buy a particular product.The client has been advised that a multiple regression analysis would be the best approach.What would you suggest?

Accepted Answer

Multiple regression analysis would be ap

Question 9

All of the following are techniques for multivariate analysis procedure except ________.

Accepted Answer

A) Cluster analysis 
B) Factor analysis 
C) Conjoint analysis 
D) Bivariate Regression analysis 
A) Cluster analysis 
B) Factor analysis 
C) Conjoint analysis 
D) Bivariate Regression analysis

Question 10

An analyst will always prefer that the R² be close to zero.

Accepted Answer

A) True 
 B)False

Question 11

Which of the following would not be an application best suited for multiple regression analysis?

Accepted Answer

A) estimating the relationship between various demographic and lifestyle variables and the attitude toward a particular product 
B) determining which variables best predict the sales of a particular product or service 
C) estimating the effect of several marketing mix variables on product sales 
D) reducing a large number of potential predictor variables to a smaller set of composite variables 
A) estimating the relationship between various demographic and lifestyle variables and the attitude toward a particular product 
B) determining which variables best predict the sales of a particular product or service 
C) estimating the effect of several marketing mix variables on product sales 
D) reducing a large number of potential predictor variables to a smaller set of composite variables

Question 12

Multivariate techniques analyze relationships between more than 2 variables.

Accepted Answer

A) True 
 B)False

Question 13

Hadoop,an open-source platform,is most closely related to which of the following?

Accepted Answer

A) Factor Analysis 
B) Cluster Analysis 
C) Multiple Discriminant Analysis 
D) Conjoint Analysis 
E) Big Data 
A) Factor Analysis 
B) Cluster Analysis 
C) Multiple Discriminant Analysis 
D) Conjoint Analysis 
E) Big Data

Question 14

The goal of factor analysis is to identify as many factors as possible.

Accepted Answer

A) True 
 B)False

Question 15

The purpose of factor analysis can be best described as:

Accepted Answer

A) data simplification by summarizing the information contained in a large number of variables into summary measures. 
B) presenting the relationship between multiple categorical measures in a low-dimensional diagram. 
C) assessing the significance of group differences across many metric dependent variables simultaneously. 
D) assessing the degree of correlation of a group of categorical measures. 
A) data simplification by summarizing the information contained in a large number of variables into summary measures. 
B) presenting the relationship between multiple categorical measures in a low-dimensional diagram. 
C) assessing the significance of group differences across many metric dependent variables simultaneously. 
D) assessing the degree of correlation of a group of categorical measures.

Question 16

An analyst is trying to group together persons who attend theatre performances and who prefer a dinner to accompany the theatre performance.Hence,the two pieces of information are 1)frequency of attending theatre performances and 2)preference for a dinner-theatre format.What type of analysis should be undertaken to determine if those persons preferring the dinner-theatre format are those who attend theatre performances more frequently?

Accepted Answer

This problem would be best sol

Question 17

In multiple regression,the value of R² is influenced by the number of predictor variables relative to sample size.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following is a procedure that is useful for analyzing the relationship among two or more predictor/independent variables and one metric criterion/dependent variable?

Accepted Answer

A) multiple discriminant analysis 
B) multiple regression analysis 
C) conjoint analysis 
D) cluster analysis 
A) multiple discriminant analysis 
B) multiple regression analysis 
C) conjoint analysis 
D) cluster analysis

Question 19

If key attributes or popular options within key attributes are excluded from the study,demand estimates could be severely impacted in conjoint analysis.

Accepted Answer

A) True 
 B)False

Question 20

Cluster analysis is particularly valuable for what type of marketing strategy?

Accepted Answer

A) product differentiation 
B) positioning 
C) segmentation 
D) cost leadership 
A) product differentiation 
B) positioning 
C) segmentation 
D) cost leadership

There is no dependent variable in a factor analysis.

Multiple discriminant analysis is useful when the dependent variable is metric.

If a product manager wanted to see how his company's products are rated by consumers against competing products across several dimensions,the best procedure would be:

Which of the following is not a part of using predictive analysis?

If the goal is to classify business travelers into distinct groups based on their responses to 20 questions on preferences to mode of transportation,hotel accommodation,and ethnic food,which of the following techniques would be most appropriate?

In the case of multiple regression analysis,the dependent variable must be _; in multiple discriminant analysis,the dependent variable is in nature.

The type of conjoint approach used impacts how the exercise is presented and what statistical procedures are most appropriate for analyzing the results.

A client has a data set that would be appropriate for a linear model.He wants the resulting model to predict whether or not a person would buy a particular product.The client has been advised that a multiple regression analysis would be the best approach.What would you suggest?

All of the following are techniques for multivariate analysis procedure except ________.

An analyst will always prefer that the R² be close to zero.

Which of the following would not be an application best suited for multiple regression analysis?

Multivariate techniques analyze relationships between more than 2 variables.

Hadoop,an open-source platform,is most closely related to which of the following?

The goal of factor analysis is to identify as many factors as possible.

The purpose of factor analysis can be best described as:

In multiple regression,the value of R² is influenced by the number of predictor variables relative to sample size.

Which of the following is a procedure that is useful for analyzing the relationship among two or more predictor/independent variables and one metric criterion/dependent variable?

If key attributes or popular options within key attributes are excluded from the study,demand estimates could be severely impacted in conjoint analysis.

Cluster analysis is particularly valuable for what type of marketing strategy?

The Role of Marketing Research in Management Decision Making

The Marketing Research Industry and Research Ethics

Problem Definition and the Research Process

Secondary Data and Databases

Qualitative Research

Traditional Survey Research

Online Marketing Research-The Growth of Mobile and Social Media Research

Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement

Using Measurement Scales to Build Marketing Effectiveness

Questionnaire Design

Basic Sampling Issues

Sample Size Determination

Data Processing and Fundamental Data Analysis

Statistical Testing of Differences and Relationships

Bivariate Correlation and Regression

Communicating the Research Results

Managing Marketing Research

Filters

Exam 18: Multivariate Data Analysis

There is no dependent variable in a factor analysis.

Multiple discriminant analysis is useful when the dependent variable is metric.

If a product manager wanted to see how his company's products are rated by consumers against competing products across several dimensions,the best procedure would be:

Which of the following is not a part of using predictive analysis?

If the goal is to classify business travelers into distinct groups based on their responses to 20 questions on preferences to mode of transportation,hotel accommodation,and ethnic food,which of the following techniques would be most appropriate?

In the case of multiple regression analysis,the dependent variable must be ___________; in multiple discriminant analysis,the dependent variable is__________ in nature.

The type of conjoint approach used impacts how the exercise is presented and what statistical procedures are most appropriate for analyzing the results.

A client has a data set that would be appropriate for a linear model.He wants the resulting model to predict whether or not a person would buy a particular product.The client has been advised that a multiple regression analysis would be the best approach.What would you suggest?

All of the following are techniques for multivariate analysis procedure except ________.

An analyst will always prefer that the R² be close to zero.

Which of the following would not be an application best suited for multiple regression analysis?

Multivariate techniques analyze relationships between more than 2 variables.

Hadoop,an open-source platform,is most closely related to which of the following?

The goal of factor analysis is to identify as many factors as possible.

The purpose of factor analysis can be best described as:

In multiple regression,the value of R² is influenced by the number of predictor variables relative to sample size.

Which of the following is a procedure that is useful for analyzing the relationship among two or more predictor/independent variables and one metric criterion/dependent variable?

If key attributes or popular options within key attributes are excluded from the study,demand estimates could be severely impacted in conjoint analysis.

Cluster analysis is particularly valuable for what type of marketing strategy?

The Role of Marketing Research in Management Decision Making

The Marketing Research Industry and Research Ethics

Problem Definition and the Research Process

Secondary Data and Databases

Qualitative Research

Traditional Survey Research

Online Marketing Research-The Growth of Mobile and Social Media Research

Primary Data Collection: Observation

Primary Data Collection: Experimentation and Test Markets

The Concept of Measurement

Using Measurement Scales to Build Marketing Effectiveness

Questionnaire Design

Basic Sampling Issues

Sample Size Determination

Data Processing and Fundamental Data Analysis

Statistical Testing of Differences and Relationships

Bivariate Correlation and Regression

Communicating the Research Results

Managing Marketing Research

Filters

In the case of multiple regression analysis,the dependent variable must be _; in multiple discriminant analysis,the dependent variable is in nature.