Posted by **Sandra** on Sunday, February 20, 2011 at 4:09am.

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.

## Answer This Question

## Related Questions

- Statistics - General Linear Model How does the general linear model assign ...
- Statistics - A procedure in regression analysis where Predictor or Independent ...
- Statistics - a procedure in REGRESSION NALYSIS WHERE PREDICTOR OR INDEPENDENT ...
- Math: Linear Programming - Describe the linear programming situation for this ...
- statistics - A sudent is analyzing data from an experiment using a linear model...
- Linear Programming - Tab 1: Linear Program: 50 points Consider the Linear ...
- Math/Management - MeanBeats is a company that manufactures and sells electronic ...
- Linear Programming - Maximize P = 16x + 80y subject to these constraints: 2x + ...
- math gre ques - A sudent is analyzing data from an experiment using a linear ...
- linear programming - The Pyrotec Company produces three electrical products-...

More Related Questions