Question

casey deesel is a sports agent negotiating a contract for titus johnston, an athlete in the national football league (nfl). an important aspect of any nfl contract is the amount of guaranteed money over the life of the contract. casey has gathered data on 506 nfl athletes who have recently signed new contracts. each observation (nfl athlete) includes values for percentage of his team's plays that the athlete is on the field (snappercent), the number of awards an athlete has received recognizing on-field performance (awards), the number of games the athlete has missed due to injury (gamesmissed), and millions of dollars of guaranteed money in the athlete's most recent contract (money, dependent variable). casey has trained a full regression tree on 304 observations and then used the validation set to prune the tree to obtain a best-pruned tree. the best-pruned tree (as applied to the 202 observations in the validation set) is:

Answer 1

Based on the available data for a player of Titus Johnston's profile, his guaranteed amount would be $32.74 million.

Calculations and Parameters

Given that Casey Deeselis a sports agent negotiating a contract for Titus Johnston, an athlete in the National Football League

He has generated data on 506 NFL athletes who have recently signed new contracts and who get paid a percentage of his team's plays that the athlete is on the field.

With this, each award they get, each minute they spend on the field, each game missed, and then guaranteed money are all accounted for which is displayed in the attached image below.

If we observe the best-pruned tree given below, based on the arrows and circles,

For Snap percent = 96

Awards = 7

Games missed = 3

The conclusion is that with the profile of Titus Johnston, he would receive a guaranteed amount of $32.74 million.

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