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A car dealership has been working to increase the number of corporate clients leasing vehicles from them. Their three-month campaign hasn't produced a high correlation between the costs of their marketing versus the number of leases. The manager is uncertain whether it's a bad venture or the result of a poor sales effort. His marketing manager points out that they have a database of information including leads, call backs, number of requests for leasing options and a list of new clients in addition to previous corporate clients all broken down by the sales lead. What kind of analysis would best assist the manager in making a final decision about the marketing efforts?

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Since the manager is looking to see if h...

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Which of the following techniques is often used for concept testing of new products?


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

E) A) and B)
F) None of the above

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There is no dependent variable in a factor analysis.

A) True
B) False

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An R2 of 0 indicates no relationship between variables.

A) True
B) False

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

A) True
B) False

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An R2 of .05 would indicate:


A) a significant relationship between X and Y.
B) a negative relationship between X and Y.
C) a very small relationship between X and Y.
D) none of the above

E) All of the above
F) A) and B)

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An insurance company wants to know whether the subscribers to its HMO, PPO, or traditional single indemnity plan exhibit better health characteristics. They have the following data for each of their subscribers: % of body weight over optimum weight; blood pressure; cholesterol and hours per week of exercise. The analysis will group subscribers as either healthy, somewhat healthy or not healthy. Which of the following would be the best procedure for making such a determination?


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

E) A) and D)
F) A) and C)

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The actual data mining process includes:


A) Clustering
B) Classification
C) Modeling
D) Application
E) all of the above
F) none of the above

G) C) and D)
H) B) and C)

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Bivariate regression can not demonstrate:


A) when the two variables are linear.
B) when the two variables are strongly inversely related.
C) when the two variables are strongly positively related.
D) when the two variables are causally related.

E) B) and C)
F) A) and D)

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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

E) A) and B)
F) C) and D)

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This procedure is useful for analyzing the relationship among two or more predictor/independent variables and one criterion/dependent variable.


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

E) All of the above
F) C) and D)

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Regression analysis can prove causation.

A) True
B) False

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In correlation analysis, the closer the value of R is to -1 or +1, the stronger the correlation between the two variables in question.

A) True
B) False

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Ordinal data cannot be analyzed using regression analysis.

A) True
B) False

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

A) True
B) False

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All of the following are statistical procedures except_______________.


A) Correlation analysis
B) Regression analysis
C) Factor analysis
D) Cohort analysis
E) Factor analysis.

F) C) and E)
G) A) and B)

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The R2 statistic ranges from -1 to 1.

A) True
B) False

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If the goal of an analysis is to group respondents into mutually exclusive and collectively exhaustive subgroups, the preferred procedure would be cluster analysis.

A) True
B) False

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


A) product differentiation
B) positioning
C) segmentation
D) none of the above

E) A) and B)
F) None of the above

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Given the Correlation Matrix below, answer questions Given the Correlation Matrix below, answer questions     Assume that respondents answered the questions with ratio scale responses. -How many pairs of responses were in this correlation analysis? ________ Assume that respondents answered the questions with ratio scale responses. -How many pairs of responses were in this correlation analysis? ________

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The results in the matrix indi...

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