Question 1

A ________ model identifies independent and dependent variables and shows their expected basic relationships to one another.

Accepted Answer

A) specific statistical 
B) general statistical 
C) specific conceptual 
D) general conceptual 
A) specific statistical 
B) general statistical 
C) specific conceptual 
D) general conceptual D

Question 2

At the end of the stepwise multiple regression process,all of the significant independent variables are eliminated from the final multiple regression equation based on the level of significance stipulated by the researcher in the multiple regression options.

Accepted Answer

A) True 
 B)False  False

Question 3

An important application of multiple regression analysis is as an identifying or screening device.How is multiple regression analysis used as an identifying or screening device?

Accepted Answer

Students should mention that the marketing researcher may be faced with a large number and variety of prospective independent variables in a general conceptual model,and he or she may use multiple regression as a way of spotting the salient(statistically significant)independent variables for the dependent variable at hand.Less complex answers may simply state that used as a screening device,multiple regression analysis identifies independent variables that qualify to be part of the final equation.Comments may include that the intent is not to determine some sort of a prediction of the dependent variable;rather,it may be to search for clues as to what factors help the researcher understand the behavior of a particular dependent variable.Answers may add that the researcher might be seeking market segmentation bases and could use regression to spot which demographic variables are related to the consumer behavior variable under study.

Question 4

The larger the absolute value of a standardized beta coefficient,the more relative importance it assumes in:

Accepted Answer

A) The standardized beta coefficient. 
B) Predicting the independent variable. 
C) Predicting the dependent variable. 
D) Assuming a role as a screening device. 
A) The standardized beta coefficient. 
B) Predicting the independent variable. 
C) Predicting the dependent variable. 
D) Assuming a role as a screening device.

Question 5

Since two variables,such as sales and advertising,are logically connected,a regression analysis permits the marketing researcher to make cause-and-effect statements.

Accepted Answer

A) True 
 B)False

Question 6

Before running a multiple regression,researchers must keep in mind that the independence assumption stipulates that the independent variables must be:

Accepted Answer

A) Statistically independent and uncorrelated with one another. 
B) Statistically dependent and uncorrelated with one another. 
C) Statistically independent and correlated with one another. 
D) Statistically dependent and correlated with one another. 
A) Statistically independent and uncorrelated with one another. 
B) Statistically dependent and uncorrelated with one another. 
C) Statistically independent and correlated with one another. 
D) Statistically dependent and correlated with one another.

Question 7

Regression analysis is nothing more than a statistical tool that assumes a linear relationship between two variables.

Accepted Answer

A) True 
 B)False

Question 8

With multiple regression,you work with a ________ rather than a line.

Accepted Answer

A) scatter plot 
B) bivariate plane 
C) regression plane 
D) elliptical plane 
A) scatter plot 
B) bivariate plane 
C) regression plane 
D) elliptical plane

Question 9

The way to avoid multicollinearity is to use warning statistics issued by most statistical analysis programs to identify this problem.One commonly used method is the:

Accepted Answer

A) Deflation factor(DF). 
B) Regression factor(RF). 
C) Variance inflation factor(VIF). 
D) Standard variance factor(SVF). 
A) Deflation factor(DF). 
B) Regression factor(RF). 
C) Variance inflation factor(VIF). 
D) Standard variance factor(SVF).

Question 10

When a researcher standardizes independent variables through a quick operation that involves dividing the difference between each independent variable value and its mean by the standard deviation of that independent variable,it results in the:

Accepted Answer

A) Beta coefficient. 
B) Standardized beta coefficient. 
C) Non-standardized beta coefficient. 
D) Standardized alpha coefficient. 
A) Beta coefficient. 
B) Standardized beta coefficient. 
C) Non-standardized beta coefficient. 
D) Standardized alpha coefficient.

Question 11

When regression is used as a screening device,some of the items to report include the dependent variable and statistically significant independent variables.

Accepted Answer

A) True 
 B)False

Question 12

What is the type of analysis for the case in which only two variables are involved in the predictive model?

Accepted Answer

A) Bivariate regression analysis 
B) Multivariate regression analysis 
C) Analysis of variables 
D) Predictive correlation 
A) Bivariate regression analysis 
B) Multivariate regression analysis 
C) Analysis of variables 
D) Predictive correlation

Question 13

The ________ is that which is predicted in the regression formula.

Accepted Answer

A) null variable 
B) independent variable 
C) controlled variable 
D) dependent variable 
A) null variable 
B) independent variable 
C) controlled variable 
D) dependent variable

Question 14

A multiple regression result is an estimate of the population multiple regression equation and,just as is the case with other estimated population parameters,it is necessary to test for statistical significance.

Accepted Answer

A) True 
 B)False

Question 15

The researcher and the manager identify,measure,and analyze specific variables that pertain to the general conceptual model in mind.

Accepted Answer

A) True 
 B)False

Question 16

The researcher and the manager identify,measure,and analyze specific variables that pertain to the ________ model in mind.

Accepted Answer

A) general conceptual 
B) specific conceptual 
C) statistical 
D) analytical 
A) general conceptual 
B) specific conceptual 
C) statistical 
D) analytical

Question 17

A straight-line relationship underlies regression,but is not a powerful predictive model.

Accepted Answer

A) True 
 B)False

Question 18

When using a Venn diagram to identify outliers,draw a circle that encompasses most of the points that appear to be in a circular pattern,then eliminate outliers from the data and rerun the regression analysis.

Accepted Answer

A) True 
 B)False

Question 19

A multiple regression result is an estimate of the population multiple regression equation and,just as is the case with other estimated population parameters,it is necessary to test for what?

Accepted Answer

A) The size of the population 
B) Statistical significance. 
C) Standard deviation 
D) Statistical non-significance 
A) The size of the population 
B) Statistical significance. 
C) Standard deviation 
D) Statistical non-significance

Question 20

What variable is customarily termed x in the regression formula?

Accepted Answer

A) Null variable 
B) Dependent variable 
C) Independent variable 
D) Controlled variable 
A) Null variable 
B) Dependent variable 
C) Independent variable 
D) Controlled variable

A ________ model identifies independent and dependent variables and shows their expected basic relationships to one another.

At the end of the stepwise multiple regression process,all of the significant independent variables are eliminated from the final multiple regression equation based on the level of significance stipulated by the researcher in the multiple regression options.

An important application of multiple regression analysis is as an identifying or screening device.How is multiple regression analysis used as an identifying or screening device?

The larger the absolute value of a standardized beta coefficient,the more relative importance it assumes in:

Since two variables,such as sales and advertising,are logically connected,a regression analysis permits the marketing researcher to make cause-and-effect statements.

Before running a multiple regression,researchers must keep in mind that the independence assumption stipulates that the independent variables must be:

Regression analysis is nothing more than a statistical tool that assumes a linear relationship between two variables.

With multiple regression,you work with a ________ rather than a line.

The way to avoid multicollinearity is to use warning statistics issued by most statistical analysis programs to identify this problem.One commonly used method is the:

When a researcher standardizes independent variables through a quick operation that involves dividing the difference between each independent variable value and its mean by the standard deviation of that independent variable,it results in the:

When regression is used as a screening device,some of the items to report include the dependent variable and statistically significant independent variables.

What is the type of analysis for the case in which only two variables are involved in the predictive model?

The ________ is that which is predicted in the regression formula.

A multiple regression result is an estimate of the population multiple regression equation and,just as is the case with other estimated population parameters,it is necessary to test for statistical significance.

The researcher and the manager identify,measure,and analyze specific variables that pertain to the general conceptual model in mind.

The researcher and the manager identify,measure,and analyze specific variables that pertain to the ________ model in mind.

A straight-line relationship underlies regression,but is not a powerful predictive model.

When using a Venn diagram to identify outliers,draw a circle that encompasses most of the points that appear to be in a circular pattern,then eliminate outliers from the data and rerun the regression analysis.

A multiple regression result is an estimate of the population multiple regression equation and,just as is the case with other estimated population parameters,it is necessary to test for what?

What variable is customarily termed x in the regression formula?

Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process & Defining the Problem and Research Objectives

Research Design

Secondary Data & Packaged Information

Utilizing Exploratory and Qualitative Research Techniques

Evaluating Survey Data Collection Methods

Understanding Measurement, Developing Questions, and Designing the Questionnaire

Selecting the Sample

Determining the Size of a Sample

Dealing with Fieldwork and Data Quality

Using Basic Descriptive Analysis Performing Population Estimates and Testing Hypotheses

Using Basic Descriptive Analysis, Performing Population Estimates, and Testing Hypotheses

Making Use of Associations Tests

Writing the Research Report

Filters

Exam 15: Understanding Regression Analysis Basics

A ________ model identifies independent and dependent variables and shows their expected basic relationships to one another.

At the end of the stepwise multiple regression process,all of the significant independent variables are eliminated from the final multiple regression equation based on the level of significance stipulated by the researcher in the multiple regression options.

An important application of multiple regression analysis is as an identifying or screening device.How is multiple regression analysis used as an identifying or screening device?

The larger the absolute value of a standardized beta coefficient,the more relative importance it assumes in:

Since two variables,such as sales and advertising,are logically connected,a regression analysis permits the marketing researcher to make cause-and-effect statements.

Before running a multiple regression,researchers must keep in mind that the independence assumption stipulates that the independent variables must be:

Regression analysis is nothing more than a statistical tool that assumes a linear relationship between two variables.

With multiple regression,you work with a ________ rather than a line.

The way to avoid multicollinearity is to use warning statistics issued by most statistical analysis programs to identify this problem.One commonly used method is the:

When a researcher standardizes independent variables through a quick operation that involves dividing the difference between each independent variable value and its mean by the standard deviation of that independent variable,it results in the:

When regression is used as a screening device,some of the items to report include the dependent variable and statistically significant independent variables.

What is the type of analysis for the case in which only two variables are involved in the predictive model?

The ________ is that which is predicted in the regression formula.

A multiple regression result is an estimate of the population multiple regression equation and,just as is the case with other estimated population parameters,it is necessary to test for statistical significance.

The researcher and the manager identify,measure,and analyze specific variables that pertain to the general conceptual model in mind.

The researcher and the manager identify,measure,and analyze specific variables that pertain to the ________ model in mind.

A straight-line relationship underlies regression,but is not a powerful predictive model.

When using a Venn diagram to identify outliers,draw a circle that encompasses most of the points that appear to be in a circular pattern,then eliminate outliers from the data and rerun the regression analysis.

A multiple regression result is an estimate of the population multiple regression equation and,just as is the case with other estimated population parameters,it is necessary to test for what?

What variable is customarily termed x in the regression formula?

Introduction to Marketing Research

The Marketing Research Industry

The Marketing Research Process & Defining the Problem and Research Objectives

Research Design

Secondary Data & Packaged Information

Utilizing Exploratory and Qualitative Research Techniques

Evaluating Survey Data Collection Methods

Understanding Measurement, Developing Questions, and Designing the Questionnaire

Selecting the Sample

Determining the Size of a Sample

Dealing with Fieldwork and Data Quality

Using Basic Descriptive Analysis Performing Population Estimates and Testing Hypotheses

Using Basic Descriptive Analysis, Performing Population Estimates, and Testing Hypotheses

Making Use of Associations Tests

Writing the Research Report

Filters