P2.1.4 - Expected number of goals vs. Exact scores (4 marks) Expected number of goals (XGHS a predictive model used to assess every goal scoring chance , and the likelihood of scoring .Nowadays ,XG has a strong algorithm behind it. but in this example rwe will assume two basic models to calculate the x6 of any football team for any game : 0 :01 = 0.1 - S ' :02 = 0.1 - 3+ 0.05 - SOT where S and 30T is the total number of shoots and total shoots on target , respectively Write a function KG_P'10'E (df) to plot 101,163 and exact number of goals scored by a randomly selected football team for whole 38 game weeks. This exploratory analysis will depict two sub plots: 1. Running mean of all three variables {x61 ,XG2 and Goals }. Running mean shows the average . . . 1 d of a value up to a time step . For example . running mean of x61 for week 5 IS ; ELI) 2:01.. . . . 1 16 or Similarly for week 17 Is El. 03:01,. 2. Cumulative sum of all three variables [xG'l .xG2 and Goals J. (Hint: "F3 -CU"15U"1 (3 } Use different colours , line styles .legends ,etc.to make the exploratory analysis more understandable .The function also returns calculated sz for the randomly selected team in a