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.
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Generalized Linear Models in Python
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# Extract and print confidence intervals
print(____.____)