Introduction to Lecture47 Data2decision Multicollinearity
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Lecture47 Data2decision Multicollinearity Comprehensive Overview
Intro to multiple regression, interactions, Design of experiments for regression: the six principles of regression design. Course Website: ... Building models with automated search (full, forward stepwise, and backward stepwise regression), omitted variable bias, and ...
In a regression analysis,
Summary & Highlights for Lecture47 Data2decision Multicollinearity
- Methods for addressing
- Using the correlation matrix to detect
- See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction 2:16 Intuition 4:13 How does it affect our regression output ...
- Using R to detect mutlicollinearity (eigenvalues, variance inflation factors), and using ridge regression to deal with
- Correlation matrix, variance inflation factor, and eigensystem analysis to detect
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