Question 1

The binary logit model is also called ________.

Accepted Answer

A) stepwise regression 
B) logistic regression 
C) OLS regression 
D) none of the above 
A) stepwise regression 
B) logistic regression 
C) OLS regression 
D) none of the above

Question 2

Which of the following statements is not an objective of discriminant analysis?

Accepted Answer

A) examination of whether significant differences exist among the groups, in terms of the criterion variables 
B) determination of which predictor variables contribute to most of the intergroup differences 
C) classification of cases to one of the groups based on the values of the predictor variables 
D) evaluation of the accuracy of classification 
A) examination of whether significant differences exist among the groups, in terms of the criterion variables 
B) determination of which predictor variables contribute to most of the intergroup differences 
C) classification of cases to one of the groups based on the values of the predictor variables 
D) evaluation of the accuracy of classification

Question 3

In discriminant analysis, the value of the coefficient for a particular predictor depends on the other predictors included in the discriminant function.

Accepted Answer

A) True 
 B)False

Question 4

In the discriminant analysis model, the coefficients, or weights (b), are estimated so that the groups differ as much as possible on the values of the discriminant function. This occurs when the ratio of between-group sum of squares to within-group sum of squares for the discriminant scores is at a maximum.

Accepted Answer

A) True 
 B)False

Question 5

D is the ________ in the model D = b0 + b1 X1 + b2 X2 + b3X3 + ...+ bkXk.

Accepted Answer

A) discriminant score 
B) disordinal interaction 
C) difference variable 
D) discriminant coefficients or weights 
A) discriminant score 
B) disordinal interaction 
C) difference variable 
D) discriminant coefficients or weights

Question 6

When the dependent variable is binary and there is one independent variable that is nonmetric, in addition to two-group discriminant analysis one can also use OLS regression, logit, and probit models for estimation.

Accepted Answer

A) True 
 B)False

Question 7

Sometimes also called confusion or prediction matrix, the ________ contains the number of correctly classified and misclassified cases.

Accepted Answer

A) classification matrix 
B) total correlation matrix 
C) pooled within-group correlation matrix 
D) identity matrix 
A) classification matrix 
B) total correlation matrix 
C) pooled within-group correlation matrix 
D) identity matrix

Question 8

The ________ is used for estimating the ________; the ________ is used for developing the ________.

Accepted Answer

A) analysis sample; discriminant function; validation sample; classification matrix 
B) validation sample; discriminant function; analysis sample; classification matrix 
C) classification matrix; discriminant function; validation sample; analysis sample 
D) none of the above 
A) analysis sample; discriminant function; validation sample; classification matrix 
B) validation sample; discriminant function; analysis sample; classification matrix 
C) classification matrix; discriminant function; validation sample; analysis sample 
D) none of the above

Question 9

If you are using the direct method or stepwise discriminant analysis, you are at the ________ step of conducting discriminant analysis.

Accepted Answer

A) formulate the problem 
B) estimate the discriminant function coefficients 
C) assess the validity of the discriminant analysis 
D) determine the size of the discriminant function 
A) formulate the problem 
B) estimate the discriminant function coefficients 
C) assess the validity of the discriminant analysis 
D) determine the size of the discriminant function

Question 10

In discriminant analysis, rejecting the null hypothesis means there is significant discrimination between groups.

Accepted Answer

A) True 
 B)False

Question 11

What does it mean if the discriminant function is estimated and the square of the canonical correlation is .64?

Accepted Answer

A) 64% of the variance in the dependent variable is explained by the model. 
B) The null hypothesis is not rejected.Therefore, there is no significant discrimination between groups. 
C) 64% of the explained variance is accounted for. 
D) B and C are correct. 
A) 64% of the variance in the dependent variable is explained by the model. 
B) The null hypothesis is not rejected.Therefore, there is no significant discrimination between groups. 
C) 64% of the explained variance is accounted for. 
D) B and C are correct.

Question 12

When the probability of success, P is modeled using a binary logit model, it is constrained to lie between ________.

Accepted Answer

A) 0 to -1 
B) -1 to 1 
C) 1 to 100 
D) 0 and 1 
A) 0 to -1 
B) -1 to 1 
C) 1 to 100 
D) 0 and 1

Question 13

A ________ is a tool for assessing discriminant analysis results that plots the group membership of each case on a graph.

Accepted Answer

A) characteristic profile 
B) scattergram 
C) territorial map 
D) pie chart 
A) characteristic profile 
B) scattergram 
C) territorial map 
D) pie chart

Question 14

Discriminant/logit analysis is similar to regression and ANOVA in which of the areas stated below (Table 18.1 in the text)?

Accepted Answer

A) nature of the dependent variables 
B) nature of the independent variables 
C) both A and B 
D) none of the above 
A) nature of the dependent variables 
B) nature of the independent variables 
C) both A and B 
D) none of the above

Question 15

When the dependent variable is binary and there are several independent variables that are metric, in addition to two-group discriminant analysis all of the following models can be used except ________.

Accepted Answer

A) OLS regression 
B) the logit model 
C) multiple discriminant analysis 
D) the probit model 
A) OLS regression 
B) the logit model 
C) multiple discriminant analysis 
D) the probit model

Question 16

The results obtained from a classification matrix based on the analysis sample are invariably better than leave-one-out classification or the classification obtained on the holdout sample.

Accepted Answer

A) True 
 B)False

Question 17

The first step in discriminant analysis is to formulate the problem by identifying the objectives, the criterion variable, and the independent variables.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following statements is true about stepwise discriminant analysis?

Accepted Answer

A) The predictors are entered sequentially based on their ability to discriminate between groups. 
B) The predictor with the highest F ratio is the first to be selected for inclusion in the discriminant function, if it meets certain significance and tolerance criteria. 
C) Each predictor selected is tested for retention based on its association with the other predictors selected. 
D) All of the above statements are true. 
A) The predictors are entered sequentially based on their ability to discriminate between groups. 
B) The predictor with the highest F ratio is the first to be selected for inclusion in the discriminant function, if it meets certain significance and tolerance criteria. 
C) Each predictor selected is tested for retention based on its association with the other predictors selected. 
D) All of the above statements are true.

Question 19

As one of the statistics associated with discriminant analysis, the ________ for each predictor is the ratio of the within-group sum of squares to the total sum of squares. Its value varies between 0 and 1.

Accepted Answer

A) Wilks' λ 
B) discriminant scores 
C) discriminant function coefficients 
D) eigenvalue 
A) Wilks' λ 
B) discriminant scores 
C) discriminant function coefficients 
D) eigenvalue

Exam 18: Discriminant and Logit Analysis

The binary logit model is also called ________.

Which of the following statements is not an objective of discriminant analysis?

In discriminant analysis, the value of the coefficient for a particular predictor depends on the other predictors included in the discriminant function.

D is the ________ in the model D = b0 + b1 X1 + b2 X2 + b3X3 + ...+ bkXk.

When the dependent variable is binary and there is one independent variable that is nonmetric, in addition to two-group discriminant analysis one can also use OLS regression, logit, and probit models for estimation.

Sometimes also called confusion or prediction matrix, the ________ contains the number of correctly classified and misclassified cases.

The ________ is used for estimating the ________; the ________ is used for developing the ________.

If you are using the direct method or stepwise discriminant analysis, you are at the ________ step of conducting discriminant analysis.

In discriminant analysis, rejecting the null hypothesis means there is significant discrimination between groups.

What does it mean if the discriminant function is estimated and the square of the canonical correlation is .64?

When the probability of success, P is modeled using a binary logit model, it is constrained to lie between ________.

A ________ is a tool for assessing discriminant analysis results that plots the group membership of each case on a graph.

Discriminant/logit analysis is similar to regression and ANOVA in which of the areas stated below (Table 18.1 in the text)?

When the dependent variable is binary and there are several independent variables that are metric, in addition to two-group discriminant analysis all of the following models can be used except ________.

The results obtained from a classification matrix based on the analysis sample are invariably better than leave-one-out classification or the classification obtained on the holdout sample.

The first step in discriminant analysis is to formulate the problem by identifying the objectives, the criterion variable, and the independent variables.

Which of the following statements is true about stepwise discriminant analysis?

As one of the statistics associated with discriminant analysis, the ________ for each predictor is the ratio of the within-group sum of squares to the total sum of squares. Its value varies between 0 and 1.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork

Data Preparation

Frequency Distribution, Cross-Tabulation, and Hypothesis Testing

Analysis of Variance and Covariance

Correlation and Regression

Factor Analysis

Cluster Analysis

Multidimensional Scaling and Conjoint Analysis

Structural Equation Modeling and Path Analysis

Report Preparation and Presentation

International Marketing Research

Filters

D is the ________ in the model D = b₀+ b₁ X₁+b₂ X₂+b₃X₃+ ...+ b_kX_k.

The is used for estimating the ; the is used for developing the .