Formula 1

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Formula 1

  1. 1. MSE 601A Statistical analysis Formula 1Performed By : Rijul Dhruv Prem Trivedi
  2. 2. 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.
  3. 3. 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
  4. 4. Weak data which lacked Logical Reasoning
  5. 5. Weak Model
  6. 6. Collection of more data points
  7. 7. Better than before
  8. 8. 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
  9. 9. Racing career data
  10. 10. Regression Data Analysis
  11. 11. 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
  12. 12. 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
  13. 13. Thank You

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