Today is Election Day and this week’s #TidyTuesday dataset is about elections for the US House of Representatives. This screencast demonstrates how to use logistic regression to understand vote share in these elections, highlighting how to use visualization for model interpretability and a matrix syntax for your model’s outcome (a good fit when you have proportion data). Check out the code on my blog: juliasilge.com...
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Logistic regression for US House election vote share
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