Merge pull request statsmodels#1630 from larsmans/interecept

DOC: typo, "interecept"
PierreBdR · Apr 24, 2014 · f962152 · f962152
2 parents 0492966 + ba72ab2
commit f962152
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Showing 3 changed files with 3 additions and 3 deletions.
diff --git 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
@@ -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
@@ -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