code: def medium_size_regression():
      """X, y pair for regression with N >> p.
  
      There are many more samples in this problem than there are
      features. Useful for testing stability of solutions.
      """
      X, y = make_regression(
          chunks=100,
          n_samples=500,
          n_features=100,
          n_informative=100,
          random_state=0,
      )
      return X, y
  
imports: import contextlib
  import string
  import dask.dataframe
  import numpy
  import pytest
  from distributed.utils_test import cluster
  from dask_ml.datasets import make_blobs, make_classification, make_counts, make_regression
label_desc: Use image node_id 15 for calling a global function with example usage: medium_size_regression() and returns: X,  y