diff --git a/sklearn/datasets/_samples_generator.py b/sklearn/datasets/_samples_generator.py
index ffe81d9c13a18..bc2cf1bcb521b 100644
--- a/sklearn/datasets/_samples_generator.py
+++ b/sklearn/datasets/_samples_generator.py
@@ -609,6 +609,19 @@ def make_regression(
     coef : ndarray of shape (n_features,) or (n_features, n_targets)
         The coefficient of the underlying linear model. It is returned only if
         coef is True.
+
+    Examples
+    --------
+    >>> from sklearn.datasets import make_regression
+    >>> X, y = make_regression(n_samples=5, n_features=2, noise=1, random_state=42)
+    >>> X
+    array([[ 0.4967..., -0.1382... ],
+        [ 0.6476...,  1.523...],
+        [-0.2341..., -0.2341...],
+        [-0.4694...,  0.5425...],
+        [ 1.579...,  0.7674...]])
+    >>> y
+    array([  6.737...,  37.79..., -10.27...,   0.4017...,   42.22...])
     """
     n_informative = min(n_features, n_informative)
     generator = check_random_state(random_state)