diff --git a/examples/gaussian_process/plot_gpr_prior_posterior.py b/examples/gaussian_process/plot_gpr_prior_posterior.py
index e0f1a05ad3ec9..df4ab89719678 100644
--- a/examples/gaussian_process/plot_gpr_prior_posterior.py
+++ b/examples/gaussian_process/plot_gpr_prior_posterior.py
@@ -126,8 +126,8 @@ def plot_gpr_samples(gpr_model, n_samples, ax):
 )
 
 # %%
-# Rational Quadradtic kernel
-# ..........................
+# Rational Quadratic kernel
+# .........................
 from sklearn.gaussian_process.kernels import RationalQuadratic
 
 kernel = 1.0 * RationalQuadratic(length_scale=1.0, alpha=0.1, alpha_bounds=(1e-5, 1e15))
@@ -200,7 +200,7 @@ def plot_gpr_samples(gpr_model, n_samples, ax):
 kernel = ConstantKernel(0.1, (0.01, 10.0)) * (
     DotProduct(sigma_0=1.0, sigma_0_bounds=(0.1, 10.0)) ** 2
 )
-gpr = GaussianProcessRegressor(kernel=kernel, random_state=0)
+gpr = GaussianProcessRegressor(kernel=kernel, random_state=0, normalize_y=True)
 
 fig, axs = plt.subplots(nrows=2, sharex=True, sharey=True, figsize=(10, 8))