# applied statistics

posted by .

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.

## Similar Questions

1. ### Statistics

You want to compare the quality of several statistics textbooks. (a) Identify two categorical variables and two quantitative variables that you would use to describe textbook quality. Give a reason for each of your choices. So I think …
2. ### Statistics

We have a sample size of 20 young adult males diagnosed with anorexia nervosa, explain, using your predictive multiple regression model, exactly how you would determine whether this model was “significant” in terms of predicting …
3. ### Statistics

General Linear Model How does the general linear model assign optimal ‘weights” that predict variables that allow us to maximize prediction accuracy?
4. ### Linear Programming

Maximize P = 16x + 80y subject to these constraints: 2x + 20y ≤ 430 4x + 70y ≤ 1400 8x + 30y ≤ 980 10x + 10y ≤ 1000 4x + 30y ≤ 700 x ≥ 0, y ≥ 0 Maximum value for P = ?
5. ### applied statistics

We will employ the SPSS dataset talent.sav, which can be found in Doc Sharing, in our exploration of interpreting a One-Way MANOVA. You will need to install the PASW Grad Pack 18.0 in order to download the dataset. Open the SPSS dataset …
6. ### Math: Linear Programming

Describe the linear programming situation for this system of inequalities. x≤1 , y ≥0 , 3x+y≤5 infeasible unbounded an optimal solution alternate optimal solutions Describe the linear programming situation for this …
7. ### statistics/psych

Find TWO media examples of two types of correlations (explained below). You will have to do some research to find these. Next: (1) Find one media example (don�t make up your own) of a correlation that could be argued to be spurious …
8. ### statistics

A sudent is analyzing data from an experiment using a linear model. when the student entered the data into his calculator and ran a least squares linear regression the calculator gave a correlation coefficient of 0.01. what can the …
9. ### Statistics

a procedure in REGRESSION NALYSIS WHERE PREDICTOR OR INDEPENDENT VARIABLES ARE CODED AS 1 OR 0 (REPRESENTING CATEGORIES) AND CAN BE USED TO PRODUCE ANOVA TABLES UNDER THE GENERAL LINEAR MODEL IS KNOWN AS?
10. ### Statistics

A procedure in regression analysis where Predictor or Independent Variables are coded as 1 or 0 (representing categories) and can be used to produce ANOVA Tables under the General Linear Model is known as…?

More Similar Questions