Multicollinearity Test Tool

Multicollinearity Test Tool

How to Use This Tool:

1. Enter your variable names in the first row
2. Enter your data values in the columns below
3. Click "Test for Multicollinearity"
4. View your VIF scores and correlation matrix

Tip: Add more variables with the "Add Variable" button or more observations with "Add Row".

Enter Your Data

Obs

Multicollinearity Analysis Results

Variance Inflation Factors (VIF)

Variable	VIF Score	Severity

Interpretation: VIF > 5 indicates moderate multicollinearity, VIF > 10 indicates severe multicollinearity.

Correlation Matrix

Interpretation: Correlation coefficients above 0.7 or below -0.7 may indicate multicollinearity.

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