Test your knowledge.Receive immediate feedback.You find all answers in the book. Quiz | Discriminant Analysis /26 11 Quiz | Discriminant Analysis 1 / 26 What is a use of discriminant analysis in business? To classify companies into performance categories To measure employee satisfaction To calculate the profitability of investment options To forecast economic trends 2 / 26 What is a 'grouping variable' in discriminant analysis? A continuous variable A dependent metric variable A variable that reflects the group an observation belongs to A variable that identifies a metric attribute 3 / 26 In discriminant analysis, what represents the group an observation belongs to? Grouping variable Dependent variable Metric variable Categorical variable 4 / 26 What is a significant criterion for evaluating the quality of a discriminant function in discriminant analysis? The maximum value of the discriminant criterion, also known as eigenvalue The discriminant function must correctly classify all observations The minimum value of the discriminant criterion, also known as eigenvalue The discriminant coefficients must all be positive 5 / 26 Which of the following is a common assumption in discriminant analysis? The dependent variable is continuous Groups have equal sample sizes Variables are independent of each other Independent Variables are normally distributed 6 / 26 “The number of describing variables should be … than the number of groups.” the same larger smaller 7 / 26 When using discriminant analysis, what is assumed about the relationship between the independent and dependent variables? It is nonlinear It is linear It is logarithmic It is exponential 8 / 26 In discriminant analysis, how is the significance of discriminant functions usually tested? ANOVA Regression analysis T-tests Chi-square tests 9 / 26 In discriminant analysis, what are the independent variables usually required to be? Ordinally scaled Nominally scaled None of the above Metrically scaled 10 / 26 Which coefficient does not affect the discriminant criterion? discriminant coefficients b constant term b0 11 / 26 What does a small value of Wilks' lambda indicate in the context of discriminant analysis? Strong discriminatory power of the function Low variance among groups High correlation between groups Poor fit of the model 12 / 26 What role do eigenvalues play in discriminant analysis? They indicate the maximum value of the discriminant criterion They represent the variance of each group They are used to compute Wilks' lambda They determine the weight of each variable 13 / 26 Which discriminant analysis method is suitable when assumptions of equal covariance matrices are not met? Canonical discriminant analysis Linear discriminant analysis Quadratic discriminant analysis Regular discriminant analysis 14 / 26 What statistical test is used if we want to know whether two groups differ significantly concerning one variable? ANOVA Pearson correlation Independent samples t-test Chi-square test 15 / 26 What is one method that is used in discriminant analysis to identify variables that best separate groups? Principal component analysis Cluster analysis Linear regression Stepwise estimation procedure 16 / 26 How is the effectiveness of a discriminant function assessed? By determining the linear relationships between all variables By the number of groups in the analysis By comparing the observed group memberships with those predicted by the function By the range of the independent variables 17 / 26 How many groups are considered if referred to as "multi-group discriminant analysis"? One group Two groups Three or more groups Not specified 18 / 26 What is Wilks' lambda used for in discriminant analysis? To assess the multicollinearity among predictors To calculate the eigenvalues for each discriminant function To measure the proportion of variance explained by the discriminants To determine the overall significance of the discriminants 19 / 26 In the context of discriminant analysis, what represents the centroid of a group? The mean value for the discriminant variable of the group The most central variable in the analysis The variable with the least variance within the group The median of all cases in a group 20 / 26 How are variables entered into a model in stepwise discriminant analysis? Simultaneously In order of their ability to reduce overall Wilks' lambda Based on their correlation with the dependent variable Randomly until all variables are used 21 / 26 “The larger SSb and the … SSw, the larger the value for the discriminant criterion, and the better are the groups separated.” smaller larger 22 / 26 What is the primary purpose of discriminant analysis? To predict continuous outcomes To classify categorical independent variables To identify independent variables To establish a relationship between a single categorical dependent variable and several metric independent variables 23 / 26 We observe 43 respondents, whereas five are misclassified. What is the hit rate of the correctly specified group assignments? 88% 80% 83% 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 What does an increasing value of Wilk’s Lambda indicate? An increasing value of Wilk’s Lambda indicates a worse separation of the groups. 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. 26 / 26 What does the Box's M test check for in discriminant analysis? Normality of the data Accuracy of classification Equality of within-group variance-covariance matrices Independence of variables Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
