The Assumptions for Discriminant Analysis Are Basically the Same as Those

question 16

True/False

The assumptions for discriminant analysis are basically the same as those for MANOVA, and there is no need for adjustments when classification is the goal of analysis.

---

Definitions:

Indicator Variable

A variable used in statistical analyses that adopts a value of 1 if a certain condition is true and 0 if false, often used to represent the presence or absence of a characteristic.

Dummy Variable

A variable used in regression analysis to represent subgroups of the sample in your study.

Nominal Independent Variable

A variable used in statistical analysis that represents categories without a natural order or ranking.

Indicator Variables

Binary variables that represent presence (1) or absence (0) of a characteristic.