statsmodels.regression.linear_model.PredictionResults

class statsmodels.regression.linear_model.PredictionResults(predicted_mean, var_pred_mean, var_resid, df=None, dist=None, row_labels=None)[source]

Results class for predictions.

Parameters:

predicted_mean : ndarray

The array containing the prediction means.

var_pred_mean : ndarray

The array of the variance of the prediction means.

var_resid : ndarray

The array of residual variances.

df : int

The degree of freedom used if dist is ‘t’.

dist : {‘norm’, ‘t’, object}

Either a string for the normal or t distribution or another object that exposes a ppf method.

row_labels : list[str]

Row labels used in summary frame.

Attributes

se_mean
se_obs

Methods

conf_int([obs, alpha]) Returns the confidence interval of the value, effect of the constraint.
summary_frame([what, alpha])

Methods

conf_int([obs, alpha]) Returns the confidence interval of the value, effect of the constraint.
summary_frame([what, alpha])

Properties

se_mean
se_obs