title: FBProphet: Understanding Regressor Impact on Multivariate Forecast
body: <p>Please see this example as the project I am working on is quite similar, but with ~8 regressors instead of 2 and I need to understand how each regressor is impacting the forecast model: <a href="https://towardsdatascience.com/forecast-model-tuning-with-additional-regressors-in-prophet-ffcbf1777dda" rel="nofollow noreferrer">https://towardsdatascience.com/forecast-model-tuning-with-additional-regressors-in-prophet-ffcbf1777dda</a></p>
  <p>Given a scenario like above with 2 additional regressors: How can we understand the impact of each regressor on the 'yhat' forecast (ex. 'temp' has 30% impact on yhat prediction and 'weathersit' has 70% impact on yhat prediction or something similar) . I have tried using &quot;from fbprophet.utilities import regressor_coefficients&quot; to see regressor coefficients but I'm not sure if that's the right approach.</p>
  <p>Additionally, how to interpret regressor columns in the 'forecast' dataframe from '.predict()'?</p>
  <p>Thanks for your help.</p>