Confidence intervals
Continuing from the previous exercise you will now asses the uncertainty of the coefficients by computing the confidence intervals.
Recall formulas for confidence intervals discussed in the video:
95% confidence intervals for the parameter \(\beta\) $$ \hat\beta\pm1.96*SE $$
95% confidence intervals for odds $$ exp(\hat\beta\pm1.96*SE) $$
The model crab_GLM and crab dataset are loaded in the workspace.
This exercise is part of the course
Generalized Linear Models in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Extract and print confidence intervals
print(____.____)