reformated description of statsmodels

README.md

@@ -18,7 +18,7 @@ The following list is by no means exhaustive, feel free to submit a pr if you mi
 | [prophet](https://github.com/facebookincubator/prophet) |  Time series forecasting for time series data that has multiple seasonality with linear or non-linear growth |
 | [pyDSE](https://github.com/blue-yonder/pydse) |  ARMA models for Dynamic System Estimation |
 | [PyFlux](https://github.com/RJT1990/pyflux) | Classical time series forecasting models |
-| [statsmodels](https://github.com/statsmodels/statsmodels) | Econometrics package has a submodule for classical time series models and hypothesis tests |
+| [statsmodels](https://github.com/statsmodels/statsmodels) | Contains a submodule for classical time series models and hypothesis tests |
 | [TensorFlow-Time-Series-Examples](https://github.com/hzy46/TensorFlow-Time-Series-Examples) | Time Series Prediction with tf.contrib.timeseries |
 | [Traces](https://github.com/datascopeanalytics/traces) | A library for unevenly-spaced time series analysis |
 | [ta-lib](https://github.com/mrjbq7/ta-lib) | Calculate technical indicators for financial time series |