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Hypothesis testing: the effect of second driver pit stop timing on race outcomes
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Resumo(s)
This thesis explores Formula 1 pit stop strategies through advanced analytics, with a focus on driver
clustering in relation to performance, tactical, and behavioural aspects. Our approach led to the
identification of four distinct driver categories, providing a framework to investigate various pit
stop strategies. By integrating these driver profiles into hypothesis tests, the study delves into the
impact of driver characteristics on team strategy and pit stop efficiency. This research contributes
to a more refined understanding of strategic elements in Formula 1, demonstrating the role of
tailored analytic methods in optimizing racing tactics and decision-making processes.
Descrição
Palavras-chave
Formula one Regression analysis Statistics Data analysis