Question 1

Which of the following is NOT an assumption made about the error term in least squares regression?

Accepted Answer

A)  The mean or average value of the error term is zero. 
B)  The variance of the error term is constant across levels of the predictor variable. 
C)  The values of the error term are independent of the predictor variable. 
D)  The values of the error term are independent of one another. 
E)  All of the above are necessary assumptions underlying the least squares solution. 
A)  The mean or average value of the error term is zero. 
B)  The variance of the error term is constant across levels of the predictor variable. 
C)  The values of the error term are independent of the predictor variable. 
D)  The values of the error term are independent of one another. 
E)  All of the above are necessary assumptions underlying the least squares solution.

Question 2

The following questions focus on Conjoint Measurement:
-In conjoint analysis, the stimuli represent

Accepted Answer

A)  combinations of attitudes. 
B)  products for which perceptions of similarity will be recorded. 
C)  predetermined combinations of product attributes. 
D)  groupings of related products. 
E)  none of the above. 
A)  combinations of attitudes. 
B)  products for which perceptions of similarity will be recorded. 
C)  predetermined combinations of product attributes. 
D)  groupings of related products. 
E)  none of the above.

Question 3

Which of the following statements regarding multicollinearity is FALSE?

Accepted Answer

A)  Multicollinearity is said to be present in a multiple regression problem when the predictor variables are correlated among themselves. 
B)  If the data are highly multicollinear, there will be a tendency to judge many of the predictor variables as not being related to the criterion variable when in fact they are. 
C)  The standard error of estimate of the least squares coefficients increases as the dependence among the predictor variables increases. 
D)  A multicollinear condition within a data set increases the efficiency of the estimates for the regression parameters. 
E)  Multicollinearity makes interpretation of the beta coefficients problematic. 
A)  Multicollinearity is said to be present in a multiple regression problem when the predictor variables are correlated among themselves. 
B)  If the data are highly multicollinear, there will be a tendency to judge many of the predictor variables as not being related to the criterion variable when in fact they are. 
C)  The standard error of estimate of the least squares coefficients increases as the dependence among the predictor variables increases. 
D)  A multicollinear condition within a data set increases the efficiency of the estimates for the regression parameters. 
E)  Multicollinearity makes interpretation of the beta coefficients problematic.

Question 4

The following questions focus on Conjoint Measurement:
-Conjoint analysis

Accepted Answer

A)  requires subjects to make judgments about stimuli that represent some predetermined combinations of attributes. 
B)  is like regression analysis with dummy variables. 
C)  relies on the ability of respondents to express their preferences for various combinations of attributes. 
D)  a and b. 
E)  a, b, and c. 
A)  requires subjects to make judgments about stimuli that represent some predetermined combinations of attributes. 
B)  is like regression analysis with dummy variables. 
C)  relies on the ability of respondents to express their preferences for various combinations of attributes. 
D)  a and b. 
E)  a, b, and c.

Question 5

The following questions focus on Conjoint Measurement:
-The basic objective in conjoint analysis is to

Accepted Answer

A)  determine the value systems people are using in making choices from combinations of attributes. 
B)  determine the perceived similarity of various objects. 
C)  determine the perceived similarity of various attributes. 
D)  measure the person's preference for specific objects. 
E)  none of the above. 
A)  determine the value systems people are using in making choices from combinations of attributes. 
B)  determine the perceived similarity of various objects. 
C)  determine the perceived similarity of various attributes. 
D)  measure the person's preference for specific objects. 
E)  none of the above.

Question 6

The correlation coefficient is given by the following equation.

Accepted Answer

A)    
B)    
C)  $ \frac{Unexplained variation}{Total variation}$ 
D)    
E)  None of the above. 
A)    
B)    
C)  $ \frac{Unexplained variation}{Total variation}$ 
D)    
E)  None of the above.

Question 7

The following questions focus on Conjoint Measurement:
-The computer output of a conjoint analysis provides which of the following?

Accepted Answer

A)  the respondent's preference for each object or brand. 
B)  the respondent's perception of each object or brand. 
C)  the respondent's utility for each attribute or product feature. 
D)  the mapping of perceptions and preferences. 
E)  none of the above. 
A)  the respondent's preference for each object or brand. 
B)  the respondent's perception of each object or brand. 
C)  the respondent's utility for each attribute or product feature. 
D)  the mapping of perceptions and preferences. 
E)  none of the above.

Which of the following is NOT an assumption made about the error term in least squares regression?

The following questions focus on Conjoint Measurement: -In conjoint analysis, the stimuli represent

Which of the following statements regarding multicollinearity is FALSE?

The following questions focus on Conjoint Measurement: -Conjoint analysis

The following questions focus on Conjoint Measurement: -The basic objective in conjoint analysis is to

The correlation coefficient is given by the following equation.

The following questions focus on Conjoint Measurement: -The computer output of a conjoint analysis provides which of the following?

Marketing Research: Its Everywhere

Alternative Approaches to Marketing Intelligence

The Research Process and Problem Formulation

Research Design, Exploratory Research, and Qualitative Data

Descriptive Research

Causal Designs

Data Collection: Secondary Data

Data Collection: Primary Data

Questionnaires and Data Collection Forms

Attitude Measurement

Appendix 10: Psychological Measurement

Sampling Procedures

Sample Size

Collecting the Data: Field Procedures and Nonsampling Error

Data Analysis: Preliminary Steps

Appendix 14: Chi-Square Tests

Data Analysis: Basic Questions

Appendix 15 A: Quick Stats Review

Data Analysis: Examination of Differences

Appendix 16 A: Analysis of Variance

Multivairate Data Analysis: Discriminant Analysis, Factor Analysis, Cluster Analysis, and Multidimensional Scaling

Appendix: More Multivariate Statistical Techniques

The Research Report

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Exam 17: Data Analysis: Investigation of Association

Which of the following is NOT an assumption made about the error term in least squares regression?

The following questions focus on Conjoint Measurement: -In conjoint analysis, the stimuli represent

Which of the following statements regarding multicollinearity is FALSE?

The following questions focus on Conjoint Measurement: -Conjoint analysis

The following questions focus on Conjoint Measurement: -The basic objective in conjoint analysis is to

The correlation coefficient is given by the following equation.

The following questions focus on Conjoint Measurement: -The computer output of a conjoint analysis provides which of the following?

Marketing Research: Its Everywhere

Alternative Approaches to Marketing Intelligence

The Research Process and Problem Formulation

Research Design, Exploratory Research, and Qualitative Data

Descriptive Research

Causal Designs

Data Collection: Secondary Data

Data Collection: Primary Data

Questionnaires and Data Collection Forms

Attitude Measurement

Appendix 10: Psychological Measurement

Sampling Procedures

Sample Size

Collecting the Data: Field Procedures and Nonsampling Error

Data Analysis: Preliminary Steps

Appendix 14: Chi-Square Tests

Data Analysis: Basic Questions

Appendix 15 A: Quick Stats Review

Data Analysis: Examination of Differences

Appendix 16 A: Analysis of Variance

Multivairate Data Analysis: Discriminant Analysis, Factor Analysis, Cluster Analysis, and Multidimensional Scaling

Appendix: More Multivariate Statistical Techniques

The Research Report

Filters