Fitting an ARMA model
In this exercise you will fit an ARMA model to the earthquakes dataset. You saw before that the earthquakes dataset is stationary so you don't need to transform it at all. It comes ready for modeling straight out the ground. You can remind yourself what it looks like below.
The earthquakes dataset is available in your environment as earthquake
. The ARIMA
class is also available in your environment.
This exercise is part of the course
ARIMA Models in Python
Exercise instructions
- Instantiate an ARMA(3,1) model and pass it the earthquakes dataset.
- Fit the model.
- Print the summary of the model fit.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Instantiate the model
model = ____
# Fit the model
results = ____
# Print model fit summary
____