canonical question

Athlete Contract Negotiations (regression tree). 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).This assignment has three parts labeled "a" - "c" below. Complete each part of the assignment ani discussion in a Word or PDF document. Be sure to label each part to make it easy to identify. When you are nished with the assignment, submit the Word or PDF document. a. Titus Johnston's Variable Values are: SnapPercent = 96, Awards = 7, and GamesMissed = 3. How much guaranteed money does the regression iree predict that a player with Titus Johnson's prole should earn in his contract? b. Casey feels that Titus was denied an additional award in the past season due to some questionable voting by some sports media. If Titus had won this additional award, how much additional guaranteed money would the regression tree predict for Titus versus the prediction in Ma}? 0. As Casey reviews the best-pruned tree, he is conised by the leaf node corresponding to the sequence of decision rules of \"SnapPercent > 90.28, SnapPement