import matplotlib.pyplot as plt
from sklearn.datasets import make_regression

X,y = make_regression(n_samples=100,n_features=2,bias=0.2,random_state=10)

plt.figure(figsize=(8,3))
plt.plot(X, y, 'go', label = 'feture') 
plt.xlabel('x', fontsize=20)
plt.ylabel('y', fontsize=20)
plt.title('make_regression output')
plt.grid()
plt.show()