Test your knowledge.Receive immediate feedback.You find all answers in the book. Quiz | Discriminant Analysis /26 11 Quiz | Discriminant Analysis 1 / 26 How is the effectiveness of a discriminant function assessed? By the range of the independent variables By comparing the observed group memberships with those predicted by the function By determining the linear relationships between all variables By the number of groups in the analysis 2 / 26 What role do eigenvalues play in discriminant analysis? They represent the variance of each group They indicate the maximum value of the discriminant criterion They determine the weight of each variable They are used to compute Wilks' lambda 3 / 26 What is a use of discriminant analysis in business? To measure employee satisfaction To classify companies into performance categories To forecast economic trends To calculate the profitability of investment options 4 / 26 In discriminant analysis, what are the independent variables usually required to be? Metrically scaled None of the above Nominally scaled Ordinally scaled 5 / 26 What is one method that is used in discriminant analysis to identify variables that best separate groups? Stepwise estimation procedure Cluster analysis Linear regression Principal component analysis 6 / 26 Which coefficient does not affect the discriminant criterion? constant term b0 discriminant coefficients b 7 / 26 What is a significant criterion for evaluating the quality of a discriminant function in discriminant analysis? The minimum value of the discriminant criterion, also known as eigenvalue The discriminant function must correctly classify all observations The discriminant coefficients must all be positive The maximum value of the discriminant criterion, also known as eigenvalue 8 / 26 When using discriminant analysis, what is assumed about the relationship between the independent and dependent variables? It is logarithmic It is linear It is nonlinear It is exponential 9 / 26 What is Wilks' lambda used for in discriminant analysis? To measure the proportion of variance explained by the discriminants To calculate the eigenvalues for each discriminant function To determine the overall significance of the discriminants To assess the multicollinearity among predictors 10 / 26 We observe 43 respondents, whereas five are misclassified. What is the hit rate of the correctly specified group assignments? 88% 83% 80% 11 / 26 “The larger SSb and the … SSw, the larger the value for the discriminant criterion, and the better are the groups separated.” smaller larger 12 / 26 In the context of discriminant analysis, what represents the centroid of a group? The median of all cases in a group The variable with the least variance within the group The most central variable in the analysis The mean value for the discriminant variable of the group 13 / 26 What does the Box's M test check for in discriminant analysis? Equality of within-group variance-covariance matrices Independence of variables Normality of the data Accuracy of classification 14 / 26 How many groups are considered if referred to as "multi-group discriminant analysis"? Two groups Not specified Three or more groups One group 15 / 26 How are variables entered into a model in stepwise discriminant analysis? Based on their correlation with the dependent variable In order of their ability to reduce overall Wilks' lambda Simultaneously Randomly until all variables are used 16 / 26 What is the primary purpose of discriminant analysis? To identify independent variables To classify categorical independent variables To predict continuous outcomes To establish a relationship between a single categorical dependent variable and several metric independent variables 17 / 26 In discriminant analysis, what represents the group an observation belongs to? Categorical variable Dependent variable Grouping variable Metric variable 18 / 26 What does a small value of Wilks' lambda indicate in the context of discriminant analysis? Low variance among groups Poor fit of the model Strong discriminatory power of the function High correlation between groups 19 / 26 What is a 'grouping variable' in discriminant analysis? A continuous variable A variable that reflects the group an observation belongs to A variable that identifies a metric attribute A dependent metric variable 20 / 26 In discriminant analysis, how is the significance of discriminant functions usually tested? ANOVA Chi-square tests T-tests Regression analysis 21 / 26 “The number of describing variables should be … than the number of groups.” larger the same smaller 22 / 26 Which of the following is a common assumption in discriminant analysis? Groups have equal sample sizes Variables are independent of each other Independent Variables are normally distributed The dependent variable is continuous 23 / 26 What statistical test is used if we want to know whether two groups differ significantly concerning one variable? Independent samples t-test Pearson correlation Chi-square test ANOVA 24 / 26 What is NOT a step in the discriminant analysis procedure? Testing the describing variables Classification of new observations Collecting qualitative data Estimating discriminant functions 25 / 26 Which discriminant analysis method is suitable when assumptions of equal covariance matrices are not met? Quadratic discriminant analysis Canonical discriminant analysis Regular discriminant analysis Linear discriminant analysis 26 / 26 What does an increasing value of Wilk’s Lambda indicate? An increasing value of Wilk’s Lambda has no indication for the separation of the groups. An increasing value of Wilk’s Lambda indicates a better separation of the groups. An increasing value of Wilk’s Lambda indicates a worse separation of the groups. Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
