Detailed Testing of Multicollinearity in R Studio

This video covers the topic of: "Detailed Testing of Multicollinearity in R Studio". This test is required when there are too many independent variables that are likely to have an association with each other leading to biased regression estimates. The major symptom is that the variables would be insignificant, but the F test and R squared would be fine. This tutorial discusses the issue of non-invertibility of Matix because of high collinearity.
This includes generating a scatter plot matrix with correlation values and histograms valid for descriptive statistics. Further, there is a wide array of tests including VIF, Tolerance test, |X'X| test, etc.


Learn Detailed Multicollinearity Testing Playlist:

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