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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def predict(self, data):
 """ Predict new values by running data through the fit model. Parameters data : pandas.DataFrame Table with columns corresponding to the RHS of `model_expression`. Returns ------- predicted : ndarray Array of predicted values. """

        with log_start_finish('_FakeRegressionResults prediction', logger):
            model_design = dmatrix(
                self._rhs, data=data, return_type='dataframe')
            return model_design.dot(self.params).values