statsmodels.stats.outliers_influence.variance_inflation_factor¶
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statsmodels.stats.outliers_influence.variance_inflation_factor(exog, exog_idx)[source]¶ variance inflation factor, VIF, for one exogenous variable
The variance inflation factor is a measure for the increase of the variance of the parameter estimates if an additional variable, given by exog_idx is added to the linear regression. It is a measure for multicollinearity of the design matrix, exog.
One recommendation is that if VIF is greater than 5, then the explanatory variable given by exog_idx is highly collinear with the other explanatory variables, and the parameter estimates will have large standard errors because of this.
Parameters: - exog (ndarray) – design matrix with all explanatory variables, as for example used in regression
- exog_idx (int) – index of the exogenous variable in the columns of exog
Returns: vif – variance inflation factor
Return type: float
Notes
This function does not save the auxiliary regression.
See also
xxx- class for regression diagnostics TODO: doesn’t exist yet
References