VIF (multicollinearity)
Calculate VIF (multicollinearity) instantly with the exact formula and a worked example.
VIF (multicollinearity)
R² of regressing x_j on the other predictors
VIF
5
Tolerance (1 − R²)
0.2
Standard error inflation (×)
2.24
Rating
Moderate — worth checking
More about: VIF (multicollinearity)
What it calculates
The “VIF (multicollinearity)” calculator computes VIF from 1 parameter: r² of regressing x_j on the other predictors.
A core calculation for studying, engineering tasks, and checking solutions.
Example calculation
With parameters R² of regressing x_j on the other predictors = 0.8 the result is 5.
How to use
- Enter r² of regressing x_j on the other predictors — each field above is adjustable with a slider.
- VIF is calculated automatically as you type.
- Check the worked example below to see the formula applied to real numbers.
- Copy the result or bookmark this calculator.
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FAQ
How is VIF (multicollinearity) calculated?
The VIF (multicollinearity) calculator computes VIF from r² of regressing x_j on the other predictors. Enter your values above and the exact formula is applied instantly; a worked example with real numbers is shown below.
Is the VIF (multicollinearity) calculator free?
Yes. It is completely free, needs no signup, runs entirely in your browser, and sends no data to any server.
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