Pre-processing - Removing outliers
In general, its not acceptable to drop an observation just because it is an outlier.

Sometimes outliers give us very important information about data. 
Removing outliers is legitimate if:


it is obvious that's incorrect data
not change the results and assumptions.


How to handle outliers? Try other models or use data transformation.