Based on the case study: Pricing of Players in the Indian Premier League

answer the following questions:

1. Develop a multiple regression model and identify statistically significant predictors that influence the price of players in the IPL
2. Cricket in the T20 format is considered a young man's sport, is there evidence that the player's price is influenced by age?
3. What is the impact of ability to score "SIXERS" on the player's price?
4. What is the impact of the predictors' batting strike rate and bowling strike rate on pricing? Identify the predictor that has the highest impact on the price of players.
5. Identify the player who is highly overpaid and the player who is highly underpaid.
6. Are players of India origin paid more than players from other countries?
7. If a regression model was built after removing Virat Kohli from the sample, what would be the impact on the coefficient for the predictors, "INDIA" and "L25"? How would you interpret this impact?
8. How much should Mumbai Indians offer Sachin Tendulkar of they would like to retain him? Is the model sufficient to predict the price of Icon players?