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Hypothesis testing: pitstops during safety car deployment & their driver position effects
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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. The approach led to the
identification of four distinct driver categories, providing a framework to investigate pit stop
strategies. The study employs linear regression as a key tool within a hypothesis-testing framework
to dissect the influence of pit stops during Safety Car periods on race outcomes, especially in the
context of these driver categories. This research contributes to a more refined understanding of
strategic elements in Formula 1, demonstrating the role of tailored analytic methods in optimising
racing tactics and decision-making processes.
Descrição
Palavras-chave
Formula one Data analysis Pitstops Safety car Regression analysis Driver position