graphics.regressionplots.plot_leverage_resid2()

statsmodels.graphics.regressionplots.plot_leverage_resid2

statsmodels.graphics.regressionplots.plot_leverage_resid2(results, alpha=0.05, label_kwargs={}, ax=None, **kwargs) [source]

Plots leverage statistics vs. normalized residuals squared

Parameters:	results : results instance A regression results instance alpha : float Specifies the cut-off for large-standardized residuals. Residuals are assumed to be distributed N(0, 1) with alpha=alpha. label_kwargs : dict The keywords to pass to annotate for the labels. ax : Axes instance Matplotlib Axes instance
Returns:	fig : matplotlib Figure A matplotlib figure instance.