Confidence intervals for negative Binomial model
Continuing with the previously fitted crab model you will compare the confidence intervals for the negative Binomial model with the Poisson regression model.
The Poisson regression model crab_pois and the negative Binomial model crab_NB, and crab dataset are preloaded in the workspace.
This exercise is part of the course
Generalized Linear Models in Python
Exercise instructions
- Compute and print confidence intervals for the
crab_poismodel. - Compute and print confidence intervals for the
crab_NBmodel.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Compute confidence intervals for crab_Pois model
print('Confidence intervals for the Poisson model')
____(____.____)
# Compute confidence intervals for crab_NB model
print('Confidence intervals for the Negative Binomial model')
____(____.____)