# applied statistics

posted by
**Sandra** on
.

Discuss how the General Linear Model assigns the optimal “weights” to predictor variables that allow us to maximize prediction accuracy. How are discriminant functions the optimal weighted linear composites for predicting “membership” regarding the categorical outcome variable?

In your area of interest,(family counseling), generate a research hypothesis for which a Discriminant Function Analysis would be appropriate. Clearly delineate predictor and criterion variables. Using the logic underlying optimal weighted linear combinations, discuss what you might expect to find in a research project, with emphasis on how you think the predictor variables would be weighted.