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.

Methods

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

Properties