Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/21719
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dc.contributor.advisorRoy, Rishideep
dc.contributor.authorAgarwal, Mridum Kumar
dc.contributor.authorJayanth, Ravi Kant
dc.date.accessioned2023-03-23T12:54:27Z-
dc.date.available2023-03-23T12:54:27Z-
dc.date.issued2021
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/21719-
dc.description.abstractThe objectives of this study to build a model which can predict the bidding price of Indian Premier League players in the auction using statistical methods like Multiple Regression Analysis and Factor Analysis. The Base price (B) of the players and Selling price (S) have significantly higher values than the rest of the variables taken for the analysis, hence an assumption is made to take the square root of the difference between the difference between S and B, the square root transformation helps to maintain uniformity between the variables.
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGP_CCS_P21_212
dc.subjectBid prices
dc.subjectIPL
dc.subjectIPL auction
dc.titleA cricketer's worth: Predicting the bid prices of players in IPL auction
dc.typeCCS Project Report-PGP
dc.pages18p.
Appears in Collections:2021
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