Uploaded February 2021 | Updated September 2026, 2 weeks ago
This video provides a general walkthrough of how you can identify potential collinearity among predictor variables when performing multiple linear regression. In it I discuss how Tolerance and Variance inflation factors are computed and their meaning, as well as demonstrate the use of the Collinearity diagnostics table in your regression results.
A copy of the SPSS dataset can be downloaded here: drive.google.com/file/d/1zoLLgbPbYy1u91zXEUolHraPnd2fFMMN/view?usp=sharing
A copy of the Powerpoint referenced in the video can be downloaded here:
drive.google.com/file/d/1WKTeUZVchUE-3Glhbo5Io3sIgLdWlYqj/view?usp=sharing
This video provides a general walkthrough of how you can identify potential collinearity among predictor variables when performing multiple linear regression. In it I discuss how Tolerance and Variance inflation factors are computed and their meaning, as well as demonstrate the use of the Collinearity diagnostics table in your regression results.
A copy of the SPSS dataset can be downloaded here: drive.google.com/file/d/1zoLLgbPbYy1u91zXEUolHraPnd2fFMMN/view?usp=sharing
A copy of the Powerpoint referenced in the video can be downloaded here:
drive.google.com/file/d/1WKTeUZVchUE-3Glhbo5Io3sIgLdWlYqj/view?usp=sharing










