LSS_BoK_4.2 - Multiple Regression Analysis

Expands on regression analysis to include multiple independent variables, allowing for more complex models of process behavior.

Title	URL	Sub-Section	Rank
Conceptual Differences from Simple Regression - Benefits and Complexities	https://www.6sigmatool.com/blackbeltarticles/conceptual-differences-from-simple-regression---benefits-and-complexities	Transitioning to Multiple Regression	336
Types of Variables: Continuous, Categorical - Incorporating Interaction Terms	https://www.6sigmatool.com/blackbeltarticles/types-of-variables%3A-continuous%2C-categorical---incorporating-interaction-terms	Exploring Multiple Regression Models	337
Model Building in Multiple Regression	https://www.6sigmatool.com/blackbeltarticles/model-building-in-multiple-regression	Model Building in Multiple Regression	338
Detecting and Addressing Multicollinearity	https://www.6sigmatool.com/blackbeltarticles/detecting-and-addressing-multicollinearity	Diagnostics in Multiple Regression	339
AIC, BIC for Model Selection - Stepwise Regression Techniques	https://www.6sigmatool.com/blackbeltarticles/aic%2C-bic-for-model-selection---stepwise-regression-techniques	Model Selection and Simplification	340
Validation Approaches - Prediction Accuracy Measures	https://www.6sigmatool.com/blackbeltarticles/validation-approaches---prediction-accuracy-measures	Model Validation in Multiple Regression	341
Industry -Specific Applications - Success Stories and Lessons Learned	https://www.6sigmatool.com/blackbeltarticles/industry--specific-applications---success-stories-and-lessons-learned	Case Studies in Multiple Regression	342