Question 1

A regression model can be used to accurately predict the level of a dependent variable, given extreme values of an independent variable.

Accepted Answer

A) True 
 B)False

Question 2

Data were collected from refrigerator customers on variables relating to purchase frequency, preferences, and demographic characteristics, etc.To aid in marketing strategy formulation, the data were analyzed in various stages.The significant results at each stage were: Stage 1: high correlation between refrigerator ownership and the number of years married. Stage 2: Refrigerator customers were divided into three different groups based on their age, income, and years of education. Stage 3: perceptual mapping of the three groups showed that none of the existing brands was perceived as particularly satisfying by members in group 2. Which of the following sequences of research methods would have helped in giving the results above? Stage 1 Stage 2 Stage 3

Accepted Answer

A) Analysis of Perceptual Analysis of dependence mapping association 
B) Discriminant Correlation Factor analysis analysis analysis 
C) Factor Regression Multidimensional analysis analysis scaling 
D) Analysis of Analysis of Analysis of association independence dependence 
E) Correlation Discriminant Multi-dimensional analysis analysis scaling 
A) Analysis of Perceptual Analysis of dependence mapping association 
B) Discriminant Correlation Factor analysis analysis analysis 
C) Factor Regression Multidimensional analysis analysis scaling 
D) Analysis of Analysis of Analysis of association independence dependence 
E) Correlation Discriminant Multi-dimensional analysis analysis scaling

Question 3

The measures of association represented by r and r2 are

Accepted Answer

A) symmetric 
B) dependant 
C) asymmetric 
D) independent 
A) symmetric 
B) dependant 
C) asymmetric 
D) independent

Question 4

The point estimates b0 and b1 in a regression analysis, tend to increase the total sum of squares.

Accepted Answer

A) True 
 B)False

Question 5

Correlation coefficient implies a causal relationship between variables.

Accepted Answer

A) True 
 B)False

Question 6

In analysis of variance, the hypothesis that the means are equal will be rejected if

Accepted Answer

A) the total mean square error is significantly greater than either the explained or unexplained mean square error 
B) the total mean square error is significantly greater than the unexplained 
C) the total mean square error is significantly greater than the explained 
D) the mean square error explained is significantly greater than the mean square unexplained 
E) the mean square error unexplained is significantly greater than the mean square explained 
A) the total mean square error is significantly greater than either the explained or unexplained mean square error 
B) the total mean square error is significantly greater than the unexplained 
C) the total mean square error is significantly greater than the explained 
D) the mean square error explained is significantly greater than the mean square unexplained 
E) the mean square error unexplained is significantly greater than the mean square explained

Question 7

When testing the hypothesis that, in fact, $\beta$ = 0, the researcher is actually testing the hypothesis that the independent variable has no linear) effect on the dependent variable.

Accepted Answer

A) True 
 B)False

Question 8

Which of the following data analysis techniques can be termed analysis of dependence techniques?

Accepted Answer

A) Correlation analysis 
B) Regression analysis 
C) Multidimensional scaling 
D) Cluster analysis 
E) Factor analysis 
A) Correlation analysis 
B) Regression analysis 
C) Multidimensional scaling 
D) Cluster analysis 
E) Factor analysis

Question 9

If a variable that is excluded from the model is correlated with an independent variable in the model, the regression coefficient will reflect the impact of the excluded variable on the dependent variable.

Accepted Answer

A) True 
 B)False

Question 10

Partial correlation coefficient is the measure of association between two variables controlling for the effect of one or more additional variables.

Accepted Answer

A) True 
 B)False

Question 11

The total variation in Y, the dependent variable, can be expressed as the sum of the explained variance, the unexplained variance, and an unknown error.

Accepted Answer

A) True 
 B)False

Question 12

If the parameter $\beta$ is zero, the value of must also always be zero.F

Accepted Answer

A) True 
 B)False

A regression model can be used to accurately predict the level of a dependent variable, given extreme values of an independent variable.

The measures of association represented by r and r² are

The point estimates b₀ and b₁ in a regression analysis, tend to increase the total sum of squares.

Correlation coefficient implies a causal relationship between variables.

In analysis of variance, the hypothesis that the means are equal will be rejected if

When testing the hypothesis that, in fact, $\beta$ = 0, the researcher is actually testing the hypothesis that the independent variable has no linear) effect on the dependent variable.

Which of the following data analysis techniques can be termed analysis of dependence techniques?

If a variable that is excluded from the model is correlated with an independent variable in the model, the regression coefficient will reflect the impact of the excluded variable on the dependent variable.

Partial correlation coefficient is the measure of association between two variables controlling for the effect of one or more additional variables.

The total variation in Y, the dependent variable, can be expressed as the sum of the explained variance, the unexplained variance, and an unknown error.

If the parameter $\beta$ is zero, the value of must also always be zero.F

A Decision Making Perspective on Marketing Intelligence

Marketing Research in Practice

The Marketing Research Process

Research Design and Implementation

Secondary Sources of Marketing Data

Standardized Sources of Marketing Data

Marketing Research on the Internet

Information Collection: Qualitative and Observational Methods

Information From Respondents: Issues in Data Collection

Information From Respondents: Survey Methods

Ttitude Measurement

Signing the Questionnaire

Xperimentation

Sampling Fundamentals

Sample Size and Statistical Theory

Fundamentals of Data Analysis

Hypothesis Testing: Basic Concepts and Tests of Association

Hypothesis Testing: Means and Proportions

Iscriminant, Factor and Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Presenting the Results

Marketing-Mix Measures

Ontemporary Applications of Marketing Intelligence

Atabase Marketing, E-Commerce, Relationship

Filters

Exam 19: Correlation Analysis and Regression Analysis

A regression model can be used to accurately predict the level of a dependent variable, given extreme values of an independent variable.

The measures of association represented by r and r2 are

The point estimates b0 and b1 in a regression analysis, tend to increase the total sum of squares.

Correlation coefficient implies a causal relationship between variables.

In analysis of variance, the hypothesis that the means are equal will be rejected if

When testing the hypothesis that, in fact, β\betaβ = 0, the researcher is actually testing the hypothesis that the independent variable has no linear) effect on the dependent variable.

Which of the following data analysis techniques can be termed analysis of dependence techniques?

If a variable that is excluded from the model is correlated with an independent variable in the model, the regression coefficient will reflect the impact of the excluded variable on the dependent variable.

Partial correlation coefficient is the measure of association between two variables controlling for the effect of one or more additional variables.

The total variation in Y, the dependent variable, can be expressed as the sum of the explained variance, the unexplained variance, and an unknown error.

If the parameter β\betaβ is zero, the value of must also always be zero.F

A Decision Making Perspective on Marketing Intelligence

Marketing Research in Practice

The Marketing Research Process

Research Design and Implementation

Secondary Sources of Marketing Data

Standardized Sources of Marketing Data

Marketing Research on the Internet

Information Collection: Qualitative and Observational Methods

Information From Respondents: Issues in Data Collection

Information From Respondents: Survey Methods

Ttitude Measurement

Signing the Questionnaire

Xperimentation

Sampling Fundamentals

Sample Size and Statistical Theory

Fundamentals of Data Analysis

Hypothesis Testing: Basic Concepts and Tests of Association

Hypothesis Testing: Means and Proportions

Iscriminant, Factor and Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Presenting the Results

Marketing-Mix Measures

Ontemporary Applications of Marketing Intelligence

Atabase Marketing, E-Commerce, Relationship

Filters

The measures of association represented by r and r² are

The point estimates b₀ and b₁ in a regression analysis, tend to increase the total sum of squares.

When testing the hypothesis that, in fact, $\beta$ = 0, the researcher is actually testing the hypothesis that the independent variable has no linear) effect on the dependent variable.

If the parameter $\beta$ is zero, the value of must also always be zero.F