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Ladislaus Bortkiewicz Famously Looked at the Number of Prussian Soldiers

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Ladislaus Bortkiewicz famously looked at the number of Prussian soldiers who had been kicked to death by horses over about 200 years. He found a distribution that looked like this:
Ladislaus Bortkiewicz famously looked at the number of Prussian soldiers who had been kicked to death by horses over about 200 years. He found a distribution that looked like this:   In most years (109)  no Prussian soldiers were killed by horses. In 65 years, only one soldier died this way, until in one particularly bad year, 4 Prussian soldiers were killed by horses. If you wanted to predict this variable, what would you use? A)  Spearman correlation. B)  Non-linear regression. C)  Poisson regression. D)  Logistic regression. In most years (109) no Prussian soldiers were killed by horses. In 65 years, only one soldier died this way, until in one particularly bad year, 4 Prussian soldiers were killed by horses. If you wanted to predict this variable, what would you use?


A) Spearman correlation.
B) Non-linear regression.
C) Poisson regression.
D) Logistic regression.

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