MSE 601A Statistical analysis Formula 1Performed By : Rijul Dhruv Prem Trivedi
Formula 1 Facts Formula One, also known as Formula 1 or F1 and referred to officially as the FIA Formula One World Championship, is the highest class of single seater auto racing sanctioned by the Fédération Internationale de lAutomobile (FIA) The F1 season consists of a series of races, known as Grands Prix (in English, Grand Prizes), held on purpose-built circuits and public roads The results of each race are combined to determine two annual World Championships, one for the drivers and one for the constructors Formula One cars race at speeds of up to 360 km/h (220 mph) with engines limited in performance to a maximum of 18,000 revolutions per minute (RPM) A Formula One Grand Prix event spans a weekend A qualifying session is held after the last free practice session. This session determines the starting order for the race on Sunday The race begins with a warm-up lap, after which the cars assemble on the starting grid in the order they qualified.
Hypothesis NULL HYPOTHESIS: There are no variables that influence the winning of a particular driver in a race ALTERNATE HYPOTHESIS: There are various factors that influence the winning of a particular driver in a race Trial and error Collection of previous 10 year data points based on the grid positions for each team Learning Process began where we failed to achieve a strong model
Creation of a Stronger Model Statistical data of a particular driver was picked Eliminated the error of a logical reasoning and increased the reliability of the data to generate relationship with the variables Statistical data of racing legend Ayrton Senna was collected Variables influencing to win a race include: o Points – Points won each season o Points Rank – Driver rankings at the end of the season o Average Finish – Average of the races completed per season o Average Grid – Average of grid positions per season o Start – Number of starts in each season o Poles – Starting the race from grid position 1 Ayrton Senna
Result of the Analysis We fail to accept the Null Hypothesis since there is a clear relationship between the outcome of the race to the factors influencing the race results High Coefficient of determination(R²) amounts to the variability in our data explained by the regression model
Predictive Decisions and business aspects by Teams Each team in the FIA emphasizes on the variables used in the analysis to get the best results from their drivers in order to win the Constructor’s Championship trophy Money Talks: Entering a new team in the Formula One World Championship requires a £25 million (about US$47 million) up-front payment to the FIA Each point earned in a race by teams is worth hundreds of Constructors’ Trophy thousands of dollars To finish a race with points is the utmost goal for all emerging teams