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Multiple Choice Quiz
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1
Which of the following variables is more likely to be the dependent variable in a discriminant analysis problem?
A)What is one's political party?
B)What is the family's after tax income?
C)What is the average high temperature in January.
D)What is one's ranking in a tennis tournament?
2
Which of the following multivariate techniques does not have an assumption of independence?
A)Factor analysis
B)MANOVA
C)multiple regression
D)Discriminant application
3
Which techniques allow the researcher to develop a decision rule that describes the relationship of several independent variables on one dependent variable?
A)Canonical analysis
B)Factor analysis
C)MANOVA
D)Conjoint analysis
4
Some techniques require variables to be independent and not correlated. Which of the following techniques is sometimes used beforehand, to create uncorrelated variables?
A)Multidimensional Scaling
B)LISREL
C)Principal Components Analysis
D)MANOVA
5
Suppose that you are planning a study involving conjoint analysis. You plan to test three prices, three brands, three speeds, two levels of educational values, two categories for games, and two categories for work assistance. This means that you have
A)A 216 full-option model.
B)An impossible task since respondents cannot order that many variations of products in a consistent way.
C)A 108 full option model.
D)A requirement to start with a Principal Components Analysis (PC) to reduce the number of variables.
6
Which of the following can be an important problem in using multiple regression.
A)Interpreting the meaning of the equation.
B)Needing to use dummv variables.
C)Getting negative regression coefficients.
D)Failing to test for multicollinearity.
E)Stating regression coefficients in standardized form
7
Discriminant analysis is used
A)to investigate mean differences between groups
B)to classify people into groups
C)to discriminate two or more variables form each other
D)to assess whether two or more variables can be combined
8
Which techniques can be selected if one wants to investigate the effect of three independent variables on one metric dependent variables. All independent variables are non metric.
A)multiple regression with dummy variables
B)multiple regression
C)Non metric multi-dimensional scaling
D)Probit analysis
9
General requirements for applying a LISREL analysis include:
A)Variables considered need to be sufficiently associated.
B)Relationships must have a theoretical basis.
C)The assumed cause needs to occur prior to the observed effect.
D)All of the above.
E)A and B are both correct.
F)A and C are both correct.
G)B and C are both correct.





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