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Chapter_18__Analysis_and_Interpretation__Multiple_Variables_Simultaneously.pdf

Chapter_18__Analysis_and_Interpretation__Multiple_Variables_Simultaneously.pdf

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1. The most used multivariate data analysis technique in applied marketing research is a. regression analysis. b. frequency analysis. c. paired sample t-test. d. cross tabulation. e. Cramer's V. ANSWER: d POINTS: 1 DIFFICULTY: EASY NATIONAL STANDARDS: United States - BUSPROG: Analytic 2. In most multivariate analyses, the goal is to see whether one _________ variable has an influence on another __________ variable. a. independent, predictor b. predictor, outcome c. independent, outcome d. outcome, dependent e. Both b and c. ANSWER: e POINTS: 1 DIFFICULTY: EASY NATIONAL STANDARDS: United States - BUSPROG: Analytic 3. Which of the following is a technique that measures the closeness of the relationship between two or more variables by considering their joint variation?
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4. Which of the following is a technique that measures the association between a criterion variable and one or more independent variables? 5. To determine the degree to which the variables in a cross-tabulation analysis are independent of one another, a researcher should use 6. Which of the following statements about regression/correlation analysis is FALSE? a. Correlation analysis involves the measurement of the closeness of the relationship between two or more variables. b. Regression analysis involves the derivation of an equation that relates the criterion variable to one or more predictor variables. c. Regression analysis can establish the causal relationship between two or more variables. d. The regression line minimizes the sum of the squared deviations about the line. e. It is much more common to conduct regression analyses using a computer. ANSWER: c POINTS: 1 DIFFICULTY: EASY NATIONAL STANDARDS: United States - BUSPROG: Analytic
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7. Which of the following emphasizes the division of the sample into subgroups so as to learn how the dependent variable varies from subgroup to subgroup? 8. Which of the following statements about the Pearson chi-square test of independence is NOT true?
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