I'm fairly certain this will be quickly answered but I couldn't find anything that addressed my specific use case.
I'm running a multivariate linear regression using scikit-learn. I created dummies for two variables (is_listed and paid_vs_public) and have one variable that is a numeric value. I am trying to find the relation to the y, called fill-rate.
Here's the output I get below:
[('publish_event_start_delta',0.017666929441105143),
('is_listed', -0.36775097784982064),
('event_paid_type', -2.9127009412292346)]
How do I interpret the event_paid_type coefficient when I've encoded it as :
final_df['event_paid_type'] = final_df.event_paid_type.map({'free event':0, 'paid event':1})