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)

Results class for predictions

Parameters:

predicted_meanndarray

The array containing the prediction means.

var_pred_meanndarray

The array of the variance of the prediction means.

var_residfloat or ndarray

The array of residual variances.

dfNone or int, optional

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

dist{None, ‘norm’, ‘t’, object}, optional

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

row_labelsNone or array_like, optional

Row labels used in summary frame.

Attributes:

predicted_mean

se

se_mean

se_obs

var_pred_mean

Methods

conf_int([obs, alpha])

Confidence or prediction interval for the predicted values

summary_frame

Methods

conf_int([obs, alpha])	Confidence or prediction interval for the predicted values
summary_frame([alpha])

Properties

predicted_mean
se
se_mean
se_obs
var_pred_mean