Exam 18: Analysis and Interpretation Multiple Variables Simultaneously
Exam 1: The Role of Marketing Research52 Questions
Exam 2: The Research Process and Ethical Concerns57 Questions
Exam 3: Problem Formulation42 Questions
Exam 4: Exploratory Research48 Questions
Exam 5: Decision Support Systems56 Questions
Exam 6: Decision Support Systems Working With Big Data55 Questions
Exam 7: Using External Secondary Data46 Questions
Exam 8: Conducting Causal Research70 Questions
Exam 9: Collecting Descriptive Primary Data52 Questions
Exam 10: Collecting Data by Observation68 Questions
Exam 11: Collecting Data by Communication64 Questions
Exam 12: Asking Good Questions82 Questions
Exam 13: Designing the Data Collection Form82 Questions
Exam 14: Developing the Sampling Plan87 Questions
Exam 15: Data Collection Enhancing Response Rates While Limiting Errors88 Questions
Exam 16: Data Preparation for Analysis45 Questions
Exam 17: Analysis and Interpretation Individual Variables Independently69 Questions
Exam 18: Analysis and Interpretation Multiple Variables Simultaneously81 Questions
Exam 19: The Oral Research Presentation39 Questions
Exam 20: The Written Research Report46 Questions
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A(n)______________is used to derive an equation that relates a single continuous dependent variable to two or more independent variables.
(Short Answer)
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The value of the product-moment coefficient of correlation ranges from
(Multiple Choice)
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A factorial design is an ANOVA analysis that includes two or more dependent variables.
(True/False)
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Refer to Scenario 18.3. What relationship can be inferred from the above table between family size and owing a microwave?
(Multiple Choice)
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In multiple regression analysis, t tests are used to test for the statistical significance of betas. If a beta is insignificant, it means that its respective independent variable plays no meaningful role in predicting the dependent variable and the independent variable should be "removed" from the model.
(True/False)
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If a researcher were to take ten Asian countries where per capita income and automobile ownership by per capita were known, trying to find the overall picture of market size for the market could probably be done by using which of the following methods?
(Multiple Choice)
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A statistic used to measure the strength of relationship between categorical variables is called a(n)
____________________.
(Short Answer)
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Which of the following statements about regression/correlation analysis is FALSE?
(Multiple Choice)
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The most used multivariate data analysis technique in applied marketing research is
(Multiple Choice)
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Percentages are always calculated in the direction of the causal variable.
(True/False)
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The simple regression technique in SPSS, not the researcher, specifies which variable should be the independent variable and which one should be the dependent variable.
(True/False)
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A gum manufacturer wants to determine whether blue packaging or red packaging is preferred. The company performs a sales test by introducing red packages into a random sample of ten stores and blue packages are introduced in an independent, random sample of ten stores. The technique most appropriate for analyzing the data is
(Multiple Choice)
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Refer to Scenario 18.2. What will be the average contribution to sales of one additional salesperson?
(Multiple Choice)
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The magnitude of the Pearson correlation coefficient indicates the direction of association, while its sign indicates the strength of the association.
(True/False)
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Assume that a researcher determines that a p-value of 0.01 or below determines significance. Listed below are several correlation coefficients and their respective significance levels. Which correlation coefficient demonstrates______________an association not likely due to chance (i.e., significant)?
(Multiple Choice)
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Which of the following is a technique that measures the closeness of the relationship between two or more variables by considering their joint variation?
(Multiple Choice)
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A statistical technique used with a continuous dependent variable and one or more categorical independent variables______________is called a(n) _.
(Short Answer)
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The NFL office discovered data covering attendance at professional football games in the late 1940s and early____________________________1950s. The game with the highest attendance was between the St. Louis Cardinals and the New York Giants. The office also found considerable information that someone had collected on each game day such as the level of GDP,______________the Dow, numbers of persons employed, number of new businesses formed during the week preceding the game,____________________________and the population. A student intern took the information and built a regression model to predict game attendance for the upcoming season. The model should
(Multiple Choice)
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