?NFL Combine Download the data file 14_cr_10.txt at www.pearsonhighered.com/sullivanstats. The data represent a variety of variables measured on player
Chapter 14, Problem 10(choose chapter or problem)
NFL Combine Download the data file 14_cr_10.txt at www.pearsonhighered.com/sullivanstats. The data represent a variety of variables measured on players in the 2015 National Football League (NFL) combine. Suppose you want to build a model to predict a player’s weight. The following variables were measured:
y: Weight—weight of the player in pounds
x1: 40 YD—time (in seconds) to complete the 40-yard dash
x2: Vertical—standing vertical jump (in inches)
x3: Bench—number of times player can bench press
225 pounds
x4: Shuttle—time (in seconds) of the shuttle run
x5: Cone—time (in seconds) of the 3-cone run
x6: 20 YD—time (in seconds) of the 20-yard shuttle drill
(a) Find the least-squares regression equation yn = b0 + b1x1 + b2x2 + b3x3 + b4x4 + b5x5 + b6x6.
(b) Use a partial F test to test whether 3-cone run and 20-yard shuttle drill do not significantly help to explain variability in weight.
(c) Use forward selection, backward elimination, or stepwise regression to identify the best model in predicting weight.
Unfortunately, we don't have that question answered yet. But you can get it answered in just 5 hours by Logging in or Becoming a subscriber.
Becoming a subscriber
Or look for another answer