'Redundant predictors' diaporamas de présentation

Discriminant function analysis

Discriminant function analysis. DFA. Basics. DFA is used primarily to predict group membership from a set of continuous predictors One can think of it as MANOVA in reverse

1.85k views • 49 slides

Statistical Debugging

496 views • 49 slides

Linear Regression

Linear Regression. 5.2 Introduction. Correlations tell us nothing about the predictive power of variables. In regression we fit a predictive model to our data and use the model to predict the values of the dependent variable from one or more independent variable.

528 views • 34 slides

More Multiple Regression

More Multiple Regression. Dummy coding. 0s and 1s k-1 IVs will go into the regression equation leaving out one reference category (e.g. control) Note that with only 2 categories the common 0-1 classification is sufficient to use directly in MR

448 views • 34 slides

Psych 5510/6510

Psych 5510/6510. Chapter Eight--Multiple Regression: Models with Multiple Continuous Predictors Part 1: Testing the Overall Model. Spring, 2009. Multiple Regression MODEL. ? i =? 0 + ? 1 X i1 + ? 2 X i2 + ...+? p-1 X ip-1

440 views • 32 slides