Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Multicollinearity

The video tutorial explains multicollinearity, a condition where variables are highly correlated, making it difficult to estimate their distinct effects. It discusses SAS procedures like Proc R and Proc Reg for diagnosing multicollinearity, highlighting the importance of creating dummy variables for character data. The tutorial also covers indicators of multicollinearity, such as non-significant individual variables in a significant model, and explains how to interpret tolerance and variance inflation factors. Solutions for handling multicollinearity, like dropping variables with low tolerance, are also discussed.

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