Exam 18: Advanced Topics in Linear Analytics
Exam 1: The Role of Marketing Research75 Questions
Exam 2: Information Systems and Knowledge Management75 Questions
Exam 3: The Marketing Research Process75 Questions
Exam 4: The Human Side of Marketing Research: Organizational and Ethical Issues75 Questions
Exam 5: Qualitative Research Tools75 Questions
Exam 6: Secondary Data Research in a Digital Age75 Questions
Exam 7: Survey Research75 Questions
Exam 8: Observation75 Questions
Exam 9: Conducting Marketing Experiments75 Questions
Exam 10: Measurement and Attitude Scaling75 Questions
Exam 11: Questionnaire Design75 Questions
Exam 12: Sampling Designs and Sampling Procedures75 Questions
Exam 13: Big Data Basics: Describing Samples and Populations75 Questions
Exam 14: Basic Data Analysis75 Questions
Exam 15: Testing for Differences Between Groups and for Predictive Relationships75 Questions
Exam 16: Communicating Research Results75 Questions
Exam 17: Beyond the Basics in Basic Data Analysis75 Questions
Exam 18: Advanced Topics in Linear Analytics75 Questions
Exam 19: Testing Hypotheses With Glm Procedures75 Questions
Exam 20: Introducing Multivariate Data Analysis75 Questions
Exam 21: Multivariate Data Analysis: Analytics With Interdependence Techniques75 Questions
Exam 22: Primer on Structural Equations Modeling75 Questions
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The extent to which a change in one variable corresponds systematically to a change in another is referred to as ____________________.
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(Short Answer)
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Correct Answer:
covariance
Standardized variables are generated by subtracting the mean of a variable from each observation and multiplying the result by the standard deviation of that variable.
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(True/False)
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Correct Answer:
False
If the correlation between two variables is - 0.75,this means that there is a ____.
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(Multiple Choice)
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Correct Answer:
B
Which correlation coefficient indicates a perfect negative relationship?
(Multiple Choice)
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In a correlation matrix,the values in the main diagonal equal ____________________.
(Short Answer)
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A major assumption of any GLM is that the residual terms are ____________________.
(Short Answer)
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A correlation coefficient equal to -1.0 indicates an extremely weak relationship.
(True/False)
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Control variables are predictor variables not involved in any causal assertion or hypothesis but are included to better understand the true effect of hypothesized causal variables on dependent variables.
(True/False)
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A negative relationship means that as one variable decreases in value,the other also decreases.
(True/False)
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If the coefficient of determination between X and Y is .72,approximately what percentage of the variance in Y can be explained by X?
(Multiple Choice)
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Which regression estimation technique is based on the logic of how much better a regression line can predict values of Y compared to simply using the mean as a prediction for all observations,no matter what the value of X may be?
(Multiple Choice)
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If the coefficient of determination is approximately +0.38,the correlation coefficient might be ____.
(Multiple Choice)
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Covariation in which one variable increases while the other decreases indicates a(n)____________________ relationship.
(Short Answer)
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When there is a strong positive correlation between two variables,but,in fact,both variables are caused by a third variable,the relationship between the first two variables is said to be ____.
(Multiple Choice)
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Which term refers to the absolute amount of association between two variables,determined by how a change in one variable corresponds systematically to a change in another?
(Multiple Choice)
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A scatter plot is a simple plot graphically depicting the corresponding values of variables onto one another in a Cartesian plane.
(True/False)
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If the correlation coefficient is - 0.62,the coefficient of determination is approximately ____.
(Multiple Choice)
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Which VIF value would cause a researcher to suspect multicollinearity?
(Multiple Choice)
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Which effect occurs if multiple predictor variables are strongly correlated with each other?
(Multiple Choice)
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If r = -.88,this indicates a weak relationship between the two variables under study.
(True/False)
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