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12H3: In the data, there are two measures of a hurricane’s potential to cause death: damage_norm and min_pressure. Consult ?Hurricanes for their meanings. It makes some sense to imagine that femininity of a name matters more when the hurricane is itself deadly. This implies an interaction between femininity and either or both of damage_norm and min_pressure. Fit a series of models evaluating these interactions. Interpret and compare the models. In interpreting the estimates, it may help to generate counterfactual predictions contrasting hurricanes with masculine and feminine names. Are the effect sizes plausible? Statistical Rethinking Book: https://shorturl.at/aqLW1 Statistical Rethinking Lecture Series: https://shorturl.at/gnp48 Statistical Rethinking Github: https://github.com/rmcelreath/rethinking Make DAGs online: https://www.dagitty.net/ Pearl's Book on Causality and DAGs: https://www.amazon.com/Causal-Inferen... Applebaum's book on Probability and Information: https://shorturl.at/hrtW6 Stone's book on Information: https://shorturl.at/aqwNS My Answers: https://colab.research.google.com/dri... Full Solution-Videos Playlist: https://shorturl.at/agFY1 My GitHub Folder: https://github.com/nicklausmillican/S...