Question 1

Discriminant/logit analysis is similar to regression and ANOVA in which of the areas stated below (Table 18.1 in the text)?
A)number of dependent variables
B)number of independent variables
C)both A and B
D)none of the above

Accepted Answer

Discriminant/logit analysis is similar to regression and ANOVA in both the number of dependent variables and the number of independent variables.

Question 2

In discriminant analysis,the criterion or dependent variable is ________ and the predictor or independent variables are ________ in nature.
A)interval;categorical
B)ordinal;interval
C)categorical;interval
D)ordinal;categorical

Accepted Answer

In discriminant analysis, the criterion or dependent variable is categorical in nature (i.e. a group or class variable), while the predictor or independent variables are typically interval in nature (i.e. continuous numerical variables such as age, height, weight, etc.). Therefore, choice C is the correct answer option.

Question 3

The linear combinations of independent variables developed by discriminant analysis that will best discriminate between the categories of the dependent variable are ________.
A)discriminant functions
B)discriminant scores
C)characteristic profiles
D)classification matrix

Accepted Answer

Discriminant functions are the linear combinations of independent variables developed by discriminant analysis that will best discriminate between the categories of the dependent variable. Discriminant scores are the values obtained by plugging in the independent variable values into the discriminant functions. Characteristic profiles are the average values of each independent variable for each category of the dependent variable. Classification matrix shows the number of correctly and incorrectly classified cases using the discriminant scores. Therefore, the best choice is A.

Question 4

An examination of differences across groups lies at the heart of the basic concept of ________.
A)regression analysis
B)discriminant analysis
C)conjoint analysis
D)factor analysis

Accepted Answer

Discriminant analysis involves examining differences across groups and is used to determine which variables best distinguish between two or more groups. Regression analysis, factor analysis, and conjoint analysis all focus on examining the relationships between variables rather than differences between groups.

Question 5

As one of the statistics associated with discriminant analysis,the ________ (unstandardized)are the multipliers of variables when the variables are in the original units of measurement.
A)Wilks' λ
B)discriminant scores
C)discriminant function coefficients
D)eigenvalue

Accepted Answer

Discriminant function coefficients are the multipliers of variables when the variables are in the original units of measurement. They indicate the relative importance of each variable in predicting group membership. The other options are not directly related to the original units of measurement of the variables.

Question 6

The binary logit model commonly deals with the issue of how likely an observation is to belong to each group.It estimates the probability of an observation belonging to a particular group

Accepted Answer

The statement accurately describes the binary logit model.

Question 7

The Mahalanobis procedure is based on minimalizing a generalized measure of the distance between the two closest groups.

Accepted Answer

The Mahalanobis procedure is based on maximizing, not minimizing, a generalized measure of the distance between groups to ensure that they are as distinct as possible.

Question 8

Sometimes also called confusion or prediction matrix,the ________ contains the number of correctly classified and misclassified cases.
A)classification matrix
B)total correlation matrix
C)pooled within-group correlation matrix
D)identity matrix

Accepted Answer

The given description matches with the concept of classification matrix, which shows the accuracy of a classification model by displaying the number of true positives, false positives, true negatives, and false negatives. It helps in evaluating the performance of a predictive model. The other options, i.e., total correlation matrix, pooled within-group correlation matrix, and identity matrix, are not related to classification evaluation.

Question 9

As one of the statistics associated with discriminant analysis,________ are obtained when the unstandardized coefficients are multiplied by the values of the variables and the products are summed and added to the constant term.
A)Wilks' λ
B)discriminant scores
C)discriminant function coefficients
D)eigenvalue

Accepted Answer

Discriminant scores are calculated by multiplying the unstandardized coefficients by the values of the variables, summing these products, and then adding the constant term. This process is used in discriminant analysis to classify cases into groups.

Question 10

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

The classification matrix is based on the entire analysis sample, while leave-one-out classification and holdout sample classification are based on smaller subsets of the data. Therefore, the classification matrix will generally produce more accurate results.

Question 11

Discriminant/logit analysis is similar to regression and ANOVA in which of the areas stated below (Table 18.1 in the text)?
A)nature of the dependent variables
B)nature of the independent variables
C)both A and B
D)none of the above

Accepted Answer

The answer of Discriminant/logit analysis is similar to regression and...

Question 12

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

OLS regression is not suitable for binary dependent variables, but logit and probit models are appropriate for such cases.

Question 13

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

Accepted Answer

Discriminant analysis primarily focuses on determining which variables discriminate between two or more naturally occurring groups, classifying cases into these groups, and evaluating the accuracy of the classification. It does not directly aim to examine if significant differences exist among the groups in terms of criterion variables; this is more the objective of variance analysis (ANOVA).

Question 14

Discriminant analysis is available in EXCEL.

Accepted Answer

The answer of Discriminant analysis is available in EXCEL....

Question 15

The procedure that is used to estimate the parameters of the binary logit model is called the maximum likelihood method.

Accepted Answer

The maximum likelihood method is the standard procedure used to estimate the parameters of the binary logit model.

Question 16

D is the ________ in the model D = b₀+ b₁ X₁+b₂ X₂+b₃X₃+ ...+ b_kX_k. A)discriminant score B)disordinal interaction C)difference variable D)discriminant coefficients or weights

Accepted Answer

The answer of D is the ________ in the model...

Question 17

The logit model falls somewhere between regression and discriminant analysis in application.

Accepted Answer

The logit model is a type of regression model that is commonly used in classification tasks, making it a hybrid of regression and discriminant analysis.

Question 18

Discriminant analysis can be used to answer questions such as ________.
A)How much of the variation in sales can be explained by advertising expenditures,prices,and level of distribution?
B)In terms of demographic characteristics,how do customers who exhibit store loyalty differ from those who do not?
C)What are the distinguishing characteristics of consumers who respond to direct mail solicitations?
D)Both B and C are correct.

Accepted Answer

Discriminant analysis can be used to identify the distinguishing characteristics of different groups, such as customers who exhibit store loyalty versus those who do not and consumers who respond to direct mail solicitations. It can also be used to determine the factors that explain variation in a dependent variable, such as sales, based on independent variables, like advertising expenditures, prices, and distribution.

Question 19

The nature of dependent and independent variables in the binary logit model is similar to that in ________.
A)multivariate analysis of variance
B)analysis of variance
C)regression analysis
D)discriminant analysis

Accepted Answer

The answer of The nature of dependent and independent variables...

Question 20

When the probability of success,p,is modeled using OLS regression,p is constrained to lie between 0 and 1.

Accepted Answer

OLS (Ordinary Least Squares) regression does not inherently constrain the predicted values to lie between 0 and 1, which is necessary for probabilities. Logistic regression, not OLS, is used for models where the dependent variable represents a probability.

Quiz 18: Discriminant and Logit Analysis

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

In discriminant analysis,the criterion or dependent variable is and the predictor or independent variables are in nature.

The linear combinations of independent variables developed by discriminant analysis that will best discriminate between the categories of the dependent variable are ________.

An examination of differences across groups lies at the heart of the basic concept of ________.

As one of the statistics associated with discriminant analysis,the ________ (unstandardized) are the multipliers of variables when the variables are in the original units of measurement.

The binary logit model commonly deals with the issue of how likely an observation is to belong to each group.It estimates the probability of an observation belonging to a particular group

The Mahalanobis procedure is based on minimalizing a generalized measure of the distance between the two closest groups.

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

As one of the statistics associated with discriminant analysis,________ are obtained when the unstandardized coefficients are multiplied by the values of the variables and the products are summed and added to the constant term.

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.

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 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.

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

Discriminant analysis is available in EXCEL.

The procedure that is used to estimate the parameters of the binary logit model is called the maximum likelihood method.

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

The logit model falls somewhere between regression and discriminant analysis in application.

Discriminant analysis can be used to answer questions such as ________.

The nature of dependent and independent variables in the binary logit model is similar to that in ________.

When the probability of success,p,is modeled using OLS regression,p is constrained to lie between 0 and 1.

Quiz 18: Discriminant and Logit Analysis

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

In discriminant analysis,the criterion or dependent variable is ________ and the predictor or independent variables are ________ in nature.

The linear combinations of independent variables developed by discriminant analysis that will best discriminate between the categories of the dependent variable are ________.

An examination of differences across groups lies at the heart of the basic concept of ________.

As one of the statistics associated with discriminant analysis,the ________ (unstandardized) are the multipliers of variables when the variables are in the original units of measurement.

The binary logit model commonly deals with the issue of how likely an observation is to belong to each group.It estimates the probability of an observation belonging to a particular group

The Mahalanobis procedure is based on minimalizing a generalized measure of the distance between the two closest groups.

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

As one of the statistics associated with discriminant analysis,________ are obtained when the unstandardized coefficients are multiplied by the values of the variables and the products are summed and added to the constant term.

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.

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 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.

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

Discriminant analysis is available in EXCEL.

The procedure that is used to estimate the parameters of the binary logit model is called the maximum likelihood method.

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

The logit model falls somewhere between regression and discriminant analysis in application.

Discriminant analysis can be used to answer questions such as ________.

The nature of dependent and independent variables in the binary logit model is similar to that in ________.

When the probability of success,p,is modeled using OLS regression,p is constrained to lie between 0 and 1.

In discriminant analysis,the criterion or dependent variable is and the predictor or independent variables are in nature.

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