Exam 23: Bivariate Statistical Analysis: Measures of Association
Exam 1: The Role of Marketing Research70 Questions
Exam 2: Information Systems and Knowledge Management70 Questions
Exam 3: The Marketing Research Process85 Questions
Exam 4: The Human Side of Marketing Research: Organizational and Ethical Issues74 Questions
Exam 5: Problem Definition: Jump-Starting the Research Process75 Questions
Exam 6: Qualitative Research Tools80 Questions
Exam 7: Secondary Data Research in a Digital Age75 Questions
Exam 8: Survey Research: an Overview80 Questions
Exam 9: Survey Research: Basic Methods of Communication With Respondents75 Questions
Exam 10: Observation80 Questions
Exam 11: Experimental Research: An Overview85 Questions
Exam 12: Test Markets and Experimental Design75 Questions
Exam 13: Measurement80 Questions
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Exam 15: Questionnaire Design85 Questions
Exam 16: Sampling Designs and Sampling Procedures75 Questions
Exam 17: Determination of Sample Size: A Review of Statistical Theory80 Questions
Exam 18: Fieldwork69 Questions
Exam 19: Editing and Coding: Transforming Raw Data Into Information75 Questions
Exam 20: Basic Data Analysis: Descriptive Statistics75 Questions
Exam 21: Univariate Statistical Analysis75 Questions
Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables75 Questions
Exam 23: Bivariate Statistical Analysis: Measures of Association75 Questions
Exam 24: Introducing Multivariate Statistical Analysis80 Questions
Exam 25: Communicating Research Results: Research Report, oral Presentation, and Research Follow-Up70 Questions
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The measure of association used in the textbook is the Pearson product-moment correlation coefficient and its symbol is r.
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In regression,the standardized Y-intercept term is always 1.
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The ordinary least-squares method of regression analysis 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.
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If the regression equation is: Y = 24.35 - 14.2 X ,then 24.35 is the ____,while -14.2 is the ____.
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In a regression equation,the slope of the line,b,is the change in X that is due to a corresponding change of one unit of Y.
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In most business research,the estimate of a in a regression equation is most important.
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All of the following are simple regression estimation techniques EXCEPT:
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In a regression equation,the slope of the regression line is denoted by the symbol ____________________.
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In the regression equation,Y = a + b X,a is the symbol for the:
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The first step in interpreting simple regression output is to interpret the overall significance of the model.
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The statistical measure of the association between two variables is known as the ____________________ coefficient.
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If the correlation coefficient is - 0.62,the coefficient of determination is approximately:
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When the on-time performance of airlines is used to predict the number of customer complaints in a regression equation,on-time performance is the ____ variable and the number of customer complaints is the ____ variable.
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The statistical significance of a regression model is determined using which test?
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The correlation coefficient,r,indicates the magnitude of the linear relationships but not the direction of that relationship.
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If the number of coupons given out at shopping malls is used to predict the number of tickets that will be sold to a country and western band's performance at a local club,the number of coupons is the ____________________ variable.
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In a correlation matrix,the values in the main diagonal equal ____________________.
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In regression analysis,the dependent variable is also called the ____ variable.
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The test for the statistical significance of the regression model is the ____________________ test.
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