Question 3: Develop a regression model (using linear regression) and identify the factors which influence the price/cost of players. Answer: The result of this that we could arrive at the contributing factors for the selling price for various categories is as follows BATSMEN Country (India) Age less than 25yrs Average Runs Scored Age between 25 - 35 yrs BOWLERS Runs Conceded (reason unknown) Wickets Taken ALL ROUNDER NIL WICKET KEEPER Country (India) Age less than 25yrs Average The fact that the Icon players are from India and are paid more could also have contributed for the Indian players to be a significant factor.

CASE 1: THE INDIAN PREMIER LEAGUE: GAUGING PLAYER PERFORMANCE Question: Mitra decides to form homogeneous subgroups of players, which would better help him to express the nuances of T20 cricket. How would you go about implementing this? Apply relevant data analysis technique and generate useful insights. In Cluster 2 (Extremely valuable), the batsmen have scored - - the maximum runs - centuries - maximum 4s - reasonable amount of 6s - have a high BI (Batting Index) In Cluster 1 (Valuable), the batsmen have scored - - high runs - a few 50s - maximum 6s - reasonable amount of 4s - have the second highest BI (Batting Index) In Cluster 3 (Under performer)

Test of R Markdown