diff --git a/sklearn/feature_selection/univariate_selection.py b/sklearn/feature_selection/univariate_selection.py
index bdeda48a556a917d67a135449156ad714c84189c..73b0821bdea122214f0687ad808f64c4b1643b27 100644
--- a/sklearn/feature_selection/univariate_selection.py
+++ b/sklearn/feature_selection/univariate_selection.py
@@ -474,7 +474,7 @@ class SelectKBest(_BaseFilter):
     mutual_info_classif: Mutual information for a discrete target.
     chi2: Chi-squared stats of non-negative features for classification tasks.
     f_regression: F-value between label/feature for regression tasks.
-    mutual_info_regression: Mutual information for a continious target.
+    mutual_info_regression: Mutual information for a continuous target.
     SelectPercentile: Select features based on percentile of the highest scores.
     SelectFpr: Select features based on a false positive rate test.
     SelectFdr: Select features based on an estimated false discovery rate.