diff --git a/statsmodels/base/model.py b/statsmodels/base/model.py
index bda0334a8e1..9b20a4c02f6 100644
--- a/statsmodels/base/model.py
+++ b/statsmodels/base/model.py
@@ -20,7 +20,7 @@
         1-d endogenous response variable. The dependent variable.
     exog : array-like
         A nobs x k array where `nobs` is the number of observations and `k`
-        is the number of regressors. An interecept is not included by default
+        is the number of regressors. An intercept is not included by default
         and should be added by the user. See
         `statsmodels.tools.add_constant`."""
 
diff --git a/statsmodels/discrete/discrete_model.py b/statsmodels/discrete/discrete_model.py
index 4a142257626..9fcce2effba 100644
--- a/statsmodels/discrete/discrete_model.py
+++ b/statsmodels/discrete/discrete_model.py
@@ -1456,7 +1456,7 @@ class MNLogit(MultinomialModel):
         is done.
     exog : array-like
         A nobs x k array where `nobs` is the number of observations and `k`
-        is the number of regressors. An interecept is not included by default
+        is the number of regressors. An intercept is not included by default
         and should be added by the user. See `statsmodels.tools.add_constant`.
     %(extra_params)s
 
diff --git a/statsmodels/genmod/generalized_linear_model.py b/statsmodels/genmod/generalized_linear_model.py
index 71564dd5658..d1b86b4cf93 100644
--- a/statsmodels/genmod/generalized_linear_model.py
+++ b/statsmodels/genmod/generalized_linear_model.py
@@ -51,7 +51,7 @@ class GLM(base.LikelihoodModel):
         supplied, each observation is expected to be [success, failure].
     exog : array-like
         A nobs x k array where `nobs` is the number of observations and `k`
-        is the number of regressors. An interecept is not included by default
+        is the number of regressors. An intercept is not included by default
         and should be added by the user. See `statsmodels.tools.add_constant`.
     family : family class instance
         The default is Gaussian.  To specify the binomial distribution