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Why learn about logistic regression?

Because the outcome, \(Y\), is binary, rather than continous, we choose logistic regression, rather than linear regression.

Hosmer, David W., Stanley Lemeshow, and Rodney X. Sturdivant. Applied logistic regression. Hoboken, New Jersey: Wiley, 2013, the standard text (HLS).

HSL

HSL doesn’t have code examples, but it does have tables, figures and exercises

My plan is to work those in R and to post the resu1ts here, with the scripts available on github.

Also in preparation

Along side those planned posts is a mini-primer to walk through a real-world dataset.

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Counting chickens

Counting chickens

Refining polling models. It's the received wisdom of the ages—don't rely on events that haven't happened yet. On the other hand, don't bring a knife to a gunfight, either.

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