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

`predicted_mean`
`se`
`se_mean`
`se_obs`
`var_pred_mean`