IndexData collection, organization and presentationGraphic and mathematical processesConclusionMost football club owners suck at their managers due to poor performance of debts in a league. But it is true that the managers are responsible for the poor performance and in case of dismissal the club's results change for the better. This article examines whether the club's performance is improved by sucking the manager especially when the championship is underway. In this case, the performance of various teams in the English Premier League will be analyzed as an example, where managers suffer dismissals due to the team's poor performance in a given period of time. This is specifically because, in the English Premier League, some clubs improve performance when the manager is fired and replaced with a new one. The hypothesis to be studied is that a club's performance improves when a coach is sacked for poor performance. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay Data collection, organization and presentation Data is collected from the analysis of the performances of the Cristal Place and Leicester City football clubs of England. The data includes the first 30 matches of the 2016/2017 season. For each victory the team scores 3 points, draws 1 point and loses 0 points. The tables below show the performances of the two clubs under the manager's management before and after the dismissal. The graphs represent the performance of the two teams as the season progresses. The graph plots the game played against the point scored by the team. The cumulative point is the total point the team is scoring after each game played. Graphical and mathematical processes The compilation and analysis of data require mathematical processes to arrive at the best conclusion of the project. Mathematical processes include modeling, probability, statistics, and algebraic processes. In our case, there is application of probability, statistics and modeling. Drawing the graph to represent the data is the modeling part of the project. The graph design should be very accurate to minimize errors during data analysis. The values ​​are well represented in the table used to draw the graph as below. From the graph, the slope of the line before the coach is fired is lower than the slope of the line after the coach is fired. The gradient is the ratio between the change in score and the corresponding change in the game played. Y=mx+c where gadient is the value of m. From the graph before the coach's dismissal, taking two points, i.e. when the games played are 3, the corresponding score is 4, i.e. (3,4) and when there are 21 games played, the corresponding score is 21. (21,21). From this evaluate the gradient as shown.M = change in scores/change in match played =(21-4)/(21-3)=17/18=0.944 After firing the coach, the gradient is continuous as the new coach proves to be good at running from the start. The slope of the new manager signing line is determined by the following points, (26,24) and (30,36). Therefore the gradient is determined as shown below for the performance after the coach's dismissal. Gradient = (36-24)/(30-26)=12/4=3 Comparing the gradient of the two sides of the graph representing the performance of the team before and after firing the coaches shows that, mathematically, the team's performance improves when the coach who is experiencing a bad situation is fired and replaced by a.”