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Multivariate techniques analyze relationships between more than 2 variables.

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An analyst will always prefer that the R² be close to zero.

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There is no dependent variable in a factor analysis.

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True

Multiple discriminant analysis is useful when the dependent variable is metric.

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False

If a product manager wanted to see how his company's products are rated by consumers against competing products across several dimensions,the best procedure would be:


A) conjoint analysis.
B) multiple regression analysis.
C) perceptual mapping.
D) cluster analysis.

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C

Which of the following would not be an application best suited for multiple regression analysis?


A) estimating the relationship between various demographic and lifestyle variables and the attitude toward a particular product
B) determining which variables best predict the sales of a particular product or service
C) estimating the effect of several marketing mix variables on product sales
D) reducing a large number of potential predictor variables to a smaller set of composite variables

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Cluster analysis is particularly valuable for what type of marketing strategy?


A) product differentiation
B) positioning
C) segmentation
D) cost leadership

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The goal of factor analysis is to identify as many factors as possible.

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A client has a data set that would be appropriate for a linear model.He wants the resulting model to predict whether or not a person would buy a particular product.The client has been advised that a multiple regression analysis would be the best approach.What would you suggest?

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Multiple regression analysis would be ap...

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An analyst is trying to group together persons who attend theatre performances and who prefer a dinner to accompany the theatre performance.Hence,the two pieces of information are 1)frequency of attending theatre performances and 2)preference for a dinner-theatre format.What type of analysis should be undertaken to determine if those persons preferring the dinner-theatre format are those who attend theatre performances more frequently?

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This problem would be best sol...

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If key attributes or popular options within key attributes are excluded from the study,demand estimates could be severely impacted in conjoint analysis.

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Which of the following is a procedure that is useful for analyzing the relationship among two or more predictor/independent variables and one metric criterion/dependent variable?


A) multiple discriminant analysis
B) multiple regression analysis
C) conjoint analysis
D) cluster analysis

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The purpose of factor analysis can be best described as:


A) data simplification by summarizing the information contained in a large number of variables into summary measures.
B) presenting the relationship between multiple categorical measures in a low-dimensional diagram.
C) assessing the significance of group differences across many metric dependent variables simultaneously.
D) assessing the degree of correlation of a group of categorical measures.

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All of the following are techniques for multivariate analysis procedure except ________.


A) Cluster analysis
B) Factor analysis
C) Conjoint analysis
D) Bivariate Regression analysis

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In the case of multiple regression analysis,the dependent variable must be ___________; in multiple discriminant analysis,the dependent variable is__________ in nature.


A) Metric; nonmetric
B) Metric; nominal
C) Nominal; categorical
D) Categorical; nonmetric

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Hadoop,an open-source platform,is most closely related to which of the following?


A) Factor Analysis
B) Cluster Analysis
C) Multiple Discriminant Analysis
D) Conjoint Analysis
E) Big Data

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The type of conjoint approach used impacts how the exercise is presented and what statistical procedures are most appropriate for analyzing the results.

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In multiple regression,the value of R² is influenced by the number of predictor variables relative to sample size.

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If the goal is to classify business travelers into distinct groups based on their responses to 20 questions on preferences to mode of transportation,hotel accommodation,and ethnic food,which of the following techniques would be most appropriate?


A) multiple regression analysis
B) conjoint analysis
C) cluster analysis
D) factor analysis

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Which of the following is not a part of using predictive analysis?


A) Acquiring a Data Set
B) Pre-processing
C) Modeling
D) Validating Results
E) All of these are a part

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