Exam 14: More Powerful Statistical Methods
Exam 2: Problem Definition and the Research Process76 Questions
Exam 3: Secondary Data and Databases71 Questions
Exam 4: Qualitative Research75 Questions
Exam 5: Traditional Survey Research63 Questions
Exam 6: Online Marketing Research50 Questions
Exam 7: Primary Data Collection: Observation61 Questions
Exam 8: Primary Data Collection: Experimentation and Test Markets71 Questions
Exam 9: The Concept of Measurement and Attitude Scales106 Questions
Exam 10: Questionnaire Design64 Questions
Exam 11: Basic Sampling Issues67 Questions
Exam 12: Sample Size Determination63 Questions
Exam 13: Data Processing, Data Analysis, and Statistical Testing74 Questions
Exam 14: More Powerful Statistical Methods85 Questions
Exam 15: Communicating Results and Managing Marketing Research86 Questions
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Given the Correlation Matrix below, answer questions
Assume that respondents answered the questions with ratio scale responses.
-How would you interpret the relationship between Education and Age?

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(Essay)
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Correct Answer:
The relationship between EDUCATION and AGE is insignificant, as the
results in the matrix indicate a 21% chance that the trend in the sample data
would not necessarily occur in the population from which was drawn.
Regression techniques analyze relationships between more than 2 variables.
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(True/False)
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True
In the equation for regression analysis, the letter X represents the independent variable.
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Correct Answer:
True
The goal of factor analysis is to identify as many factors as possible.
(True/False)
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Collinearity is a situation in which independent variables are heavily correlated with each other.
(True/False)
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The task of discovering groups and structures that are similar on certain, selected sets of variables is modeling.
(True/False)
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Data mining does not draw upon statistics, artificial intelligence, database management, and computer science to identify patterns in market data sets.
(True/False)
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Multiple regression enables the researcher to show that two variables are causally related.
(True/False)
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The degree to which changes in one variable are associated with changes in another variable.
(Multiple Choice)
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In bivariate regression, both the independent and dependent variables are measured in the form of nominal and/or ordinal data.
(True/False)
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The percentage of total variation in the dependent variable that is described by the independent variable is expressed by_________.
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Bivariate regression looks at the relationship between many variables.
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The coefficient of correlation R describes the degree of association between X and Y.
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If you are studying the impact of training on salesperson performance as indicated on an exam taken by salespersons at the end of training, salesperson sales would be the ____________ variable, and the salesperson exam score would be the _____________ variable.
(Multiple Choice)
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In factor analysis, the correlation between factor scores and the original variables is known as the factor ________,
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In a regression equation, which symbol represents the dependent variable?
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