Association and Prediction: Multiple Regression Analysis and Linear Models with Multiple Predictor Variables

Association and Prediction: Multiple Regression Analysis and Linear Models with Multiple Predictor Variables

Association between one variable and a set of variables (predictors) using multiple regression analysis and associated ANOVA table. Selection of “best” set of predictors. Mallow's C p , stepwise procedures. Polynomial regression. Normal probability plots. Analysis of covariance. Dummy and indic...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Format: Buchkapitel
Sprache:eng
Schlagworte:
canonical correlation
causal model
collinearity
linear equation
multiple correlation
non‐linear model
parallelism
partial correlation
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Beschreibung
Zusammenfassung:Association between one variable and a set of variables (predictors) using multiple regression analysis and associated ANOVA table. Selection of “best” set of predictors. Mallow's C p , stepwise procedures. Polynomial regression. Normal probability plots. Analysis of covariance. Dummy and indicator variables.
DOI:10.1002/0471602396.ch11