Question 1

Given the Correlation Matrix below, answer questions 
  Assume that respondents answered the questions with ratio scale responses.
-How would you interpret the relationship between Education and Age?

Accepted Answer

The relationship between EDUCATION and AGE is insignificant, as the
results in the matrix indicate a 21% chance that the trend in the sample data
would not necessarily occur in the population from which was drawn.

Question 2

Regression techniques analyze relationships between more than 2 variables.

Accepted Answer

A) True 
 B)False  True

Question 3

In the equation for regression analysis, the letter X represents the independent variable.

Accepted Answer

A) True 
 B)False  True

Question 4

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

Accepted Answer

A) True 
 B)False

Question 5

What are the possible values in correlation analysis?

Accepted Answer

A)   0 to 1
B)   -1 to +1
C)   -1 to 0
D)   -.99 to + .99
E)   none of the above

Question 6

Collinearity is a situation in which independent variables are heavily correlated with each other.

Accepted Answer

A) True 
 B)False

Question 7

The task of discovering groups and structures that are similar on certain, selected sets of variables is modeling.

Accepted Answer

A) True 
 B)False

Question 8

Data mining does not draw upon statistics, artificial intelligence, database management, and computer science to identify patterns in market data sets.

Accepted Answer

A) True 
 B)False

Question 9

Data mining is a long-established field of market research.

Accepted Answer

A) True 
 B)False

Question 10

Multiple regression enables the researcher to show that two variables are causally related.

Accepted Answer

A) True 
 B)False

Question 11

The degree to which changes in one variable are associated with changes in another variable.

Accepted Answer

A)   cluster analysis
B)   regression analysis
C)   correlation analysis
D)   conjoint analysis
E)   factor analysis

Question 12

In bivariate regression, both the independent and dependent variables are measured in the form of nominal and/or ordinal data.

Accepted Answer

A) True 
 B)False

Question 13

The percentage of total variation in the dependent variable that is described by the independent variable is expressed by_________.

Accepted Answer

A)   coefficient of determination
B)   correlation coefficient
C)   coefficient of covariation
D)   regression coefficient
E)   none of the above

Question 14

Bivariate regression looks at the relationship between many variables.

Accepted Answer

A) True 
 B)False

Question 15

The coefficient of correlation R describes the degree of association between X and Y.

Accepted Answer

A) True 
 B)False

Question 16

If you are studying the impact of training on salesperson performance as indicated on an exam taken by salespersons at the end of training, salesperson sales would be the ____________ variable, and the salesperson exam score would be the _____________ variable.

Accepted Answer

A)   criterion, predictor
B)   covariate, independent
C)   independent, predictor
D)   dependent, independent
E)   none of the above

Question 17

In factor analysis, the correlation between factor scores and the original variables is known as the factor ________,

Accepted Answer

A)   loading
B)   mapping
C)   attribute rating
D)   conjoint

Question 18

The purpose of factor analysis is data simplification.

Accepted Answer

A) True 
 B)False

Question 19

In a regression equation, which symbol represents the dependent variable?

Accepted Answer

A)   Y
B)   X
C)   e
D)   r
E)   none of the above

Question 20

Conjoint analysis is a standard procedure.

Accepted Answer

A) True 
 B)False

Exam 14: More Powerful Statistical Methods

Given the Correlation Matrix below, answer questions Assume that respondents answered the questions with ratio scale responses. -How would you interpret the relationship between Education and Age?

Regression techniques analyze relationships between more than 2 variables.

In the equation for regression analysis, the letter X represents the independent variable.

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

What are the possible values in correlation analysis?

Collinearity is a situation in which independent variables are heavily correlated with each other.

The task of discovering groups and structures that are similar on certain, selected sets of variables is modeling.

Data mining does not draw upon statistics, artificial intelligence, database management, and computer science to identify patterns in market data sets.

Data mining is a long-established field of market research.

Multiple regression enables the researcher to show that two variables are causally related.

The degree to which changes in one variable are associated with changes in another variable.

In bivariate regression, both the independent and dependent variables are measured in the form of nominal and/or ordinal data.

The percentage of total variation in the dependent variable that is described by the independent variable is expressed by_________.

Bivariate regression looks at the relationship between many variables.

The coefficient of correlation R describes the degree of association between X and Y.

If you are studying the impact of training on salesperson performance as indicated on an exam taken by salespersons at the end of training, salesperson sales would be the variable, and the salesperson exam score would be the _ variable.

In factor analysis, the correlation between factor scores and the original variables is known as the factor ________,

The purpose of factor analysis is data simplification.

In a regression equation, which symbol represents the dependent variable?

Conjoint analysis is a standard procedure.