Comparing logistic regression outputs

When building models, you want to have more observations than parameters that are estimated for the model. These extra variables are called degrees of freedom. The wide versus long input formats for the glm() produce different degrees of freedom because there are different numbers of rows.

In the previous exercises, you fit a logistic regression using three different input options. These have been loaded for you as lr_1, lr_2, and lr_3. Look at the summaries of these three models.

How do the degrees of freedom vary across the models?

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The degrees of freedom are the same for all three models.
The degrees of freedom are greater for the long form input (lr_1) compared to the other two (lr_2 and lr_3).
The degrees of freedom are greater for the wide form input (lr_2 and lr_3) compared to the long form input (lr_1).

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Comparing logistic regression outputs

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