code: def test_income_precision(self):
      rslt = self.income_fit
      # note that we have to exp the phi results for now.
      assert_close(
          np.exp(rslt.params[-1:]),
          expected_income_precision["Estimate"],
          1e-3,
      )
      # yield check_same, rslt.tvalues[-1:],
      #                   expected_income_precision['zvalue'], 0.1, "z-score"
      assert_close(
          rslt.pvalues[-1:], expected_income_precision["Pr(>|z|)"], 1e-3
      )
  
imports: import io
  import os
  import pytest
  import numpy
  from numpy.testing import assert_allclose, assert_equal
  import pandas
  import patsy
  from statsmodels.api import families
  from statsmodels.tools.sm_exceptions import ValueWarning
  from statsmodels.othermod.betareg import BetaModel
  from .results import results_betareg
label_desc: Use image node_id 3 for calling the TestBetaModel obj's underlying member method code with example usage: obj.test_income_precision() without return types