class_docstr: Prediction results
  
  Parameters
  ----------
  predicted_mean : {ndarray, Series, DataFrame}
      The predicted mean values
  var_pred_mean : {ndarray, Series, DataFrame}
      The variance of the predicted mean values
  dist : {None, "norm", "t", rv_frozen}
      The distribution to use when constructing prediction intervals.
      Default is normal.
  df : int, optional
      The degree of freedom parameter for the t. Not used if dist is None,
      "norm" or a callable.
  row_labels : {Sequence[Hashable], pd.Index}
      Row labels to use for the summary frame. If None, attempts to read the
      index of ``predicted_mean``
docstr: The ratio of the predicted mean to its standard deviation
docstr_tok: ["The","ratio","of","the","predicted","mean","to","its","standard","deviation"]
code: def tvalues(self):
      """The ratio of the predicted mean to its standard deviation"""
      val = self.predicted_mean / self.se_mean
      if isinstance(val, pd.Series):
          val.name = "tvalues"
      return val
  
file_path: statsmodels/statsmodels/tsa/base/prediction.py
imports: import numpy
  import pandas
  from scipy import stats
label_desc: Use image node_id 7 for calling the PredictionResults obj's underlying member method code with example usage: obj.tvalues() and returns: val