Exercise

Statistical significance

In the video we analyzed the horseshoe crab model by predicting y with weight. In this exercise you will assess the significance of the estimated coefficients but with width as explanatory variable instead.

Recall that coefficients help us determine the significance of the relationship that we are trying to model, where a positive sign increases the probability of an event as the predictor increases and vice versa.

The dataset crab is loaded in the workspace.

Instructions 1/2

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Import statsmodels library and glm function from statsmodels.formula api.
Fit a logistic regression model with y as the response and width as an explanatory variable.
Print model summary using .summary() to view model results.