Posted by **Donald** on Saturday, June 26, 2010 at 3:43pm.

General Linear Model

How does the general linear model assign optimal ‘weights” that predict 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?

## Answer this Question

## Related Questions

- applied statistics - Discuss how the General Linear Model assigns the optimal “...
- statistics - A sudent is analyzing data from an experiment using a linear model...
- math gre ques - A sudent is analyzing data from an experiment using a linear ...
- Statistics - A procedure in regression analysis where Predictor or Independent ...
- Statistics - a procedure in REGRESSION NALYSIS WHERE PREDICTOR OR INDEPENDENT ...
- linear programming - The Pyrotec Company produces three electrical products-...
- Linear Programming - Tab 1: Linear Program: 50 points Consider the Linear ...
- Math: Linear Programming - Describe the linear programming situation for this ...
- Algebra - Determine if the relationship represented in the table is linear. If ...
- advanced functions math - You buy a car in 2005 for $7860 and it depreciates ...

More Related Questions