Podcast
Questions and Answers
What is the main objective of transforming multivariate observations to univariate observations in Linear Discriminant Analysis?
What is the main objective of transforming multivariate observations to univariate observations in Linear Discriminant Analysis?
- To separate the new observations derived from population 1 and 2 as much as possible (correct)
- To estimate the common covariance matrix
- To predict the class of a given observation
- To assume normality of the populations
What is the assumption about the population covariance matrices in Linear Discriminant Analysis?
What is the assumption about the population covariance matrices in Linear Discriminant Analysis?
- They are linearly related
- They are normally distributed
- They are equal (correct)
- They are unequal
What is the primary use of linear combinations of predictors in Linear Discriminant Analysis?
What is the primary use of linear combinations of predictors in Linear Discriminant Analysis?
- To predict the class of a given observation (correct)
- To transform the data into a normal distribution
- To identify the most important predictors
- To estimate the population covariance matrices
What is the assumption about the predictor variables in Linear Discriminant Analysis?
What is the assumption about the predictor variables in Linear Discriminant Analysis?
What is the purpose of checking the univariate distributions of each variable in Linear Discriminant Analysis?
What is the purpose of checking the univariate distributions of each variable in Linear Discriminant Analysis?
What is the purpose of transforming the predictor variables in Linear Discriminant Analysis?
What is the purpose of transforming the predictor variables in Linear Discriminant Analysis?
What is the effect of not removing outliers from the data in Linear Discriminant Analysis?
What is the effect of not removing outliers from the data in Linear Discriminant Analysis?
What is the purpose of standardizing the variables in Linear Discriminant Analysis?
What is the purpose of standardizing the variables in Linear Discriminant Analysis?
What is the primary direction of the Linear Discriminant Analysis algorithm?
What is the primary direction of the Linear Discriminant Analysis algorithm?
What is the assumption about the classes in Linear Discriminant Analysis?
What is the assumption about the classes in Linear Discriminant Analysis?
