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https://www.dropbox.com/sh/dsid6umjh36jj57/AABkWhzI5zjUPaZTDpHZBJOla/src?dl=0&preview=epl.R

Programming 17. Poisson Distribution We will analyze EPL data. Use opl.R as a starting script. This script uses football-data.org API to download the resultls for two EPL teams: Manchester United and Chelsea. Model the GoalsHome and GoaleAway for each of the teams using Poisson distribution. Given these distributions calculate the following (a) What's the probability of a nil nil (0) draw? (b) What's the probability that MU wins the match? c) Discuss how could you improve your model based on four Poisson distributions 49 [Hint: The difference of two Poisson random variables follows a Skellam distribution: rskellam] install.packages ("VGAM") library("GAM") dskellam pols dpois Programming 17. Poisson Distribution We will analyze EPL data. Use opl.R as a starting script. This script uses football-data.org API to download the resultls for two EPL teams: Manchester United and Chelsea. Model the GoalsHome and GoaleAway for each of the teams using Poisson distribution. Given these distributions calculate the following (a) What's the probability of a nil nil (0) draw? (b) What's the probability that MU wins the match? c) Discuss how could you improve your model based on four Poisson distributions 49 [Hint: The difference of two Poisson random variables follows a Skellam distribution: rskellam] install.packages ("VGAM") library("GAM") dskellam pols dpois