code: def setup_class(cls):
      np.random.seed(12345)
      X = sm.add_constant(np.random.normal(0, 20, size=30))
      y = np.dot(X, [25, 3.5]) + np.random.normal(0, 30, size=30)
      cls.X = X
      cls.y = y
      X = DataFrame(X, columns=["const", "someX"])
      y = Series(y, name="outcome")
      mod = sm.OLS(y, X).fit()
      cls.mod = mod
  
imports: import numpy
  from numpy.testing import assert_array_less, assert_equal, assert_raises
  from pandas import DataFrame, Series
  import pytest
  import statsmodels.api
  from statsmodels.graphics.regressionplots import abline_plot, add_lowess, influence_plot, plot_added_variable, plot_ccpr, plot_ccpr_grid, plot_ceres_residuals, plot_fit, plot_leverage_resid2, plot_partial_residuals, plot_partregress_grid, plot_regress_exog
label_desc: Use image node_id 1 for calling the TestABLinePandas obj's underlying member method code with example usage: obj.setup_class(cls) without return types