I play a car racing video game on my tablet computer and I have collected data from 224 races. In the game, two cars are matched up head-to-head and race over a quarter-mile. I would like to determine the relative impact of certain factors on the likelihood of winning the race.
A data file is available at http://csr.datamustflow.com/csr_racing_times.csv . This file contains the columns listed below. In the file, a 'y' means 'yes/present' and 'n' means 'no/not present'.
Looking forward to any feedback you can give me on the best way to go about this analysis.
Edit: A new file with the race pairings is now available at http://csr.datamustflow.com/csr_times_paired.csv
Make_Model: name of the car
E: Engine upgrade that can be purchased with in-game cash; if present, should lower race time
N: Nitrous oxide upgrade: if present, should lower race time
T: Tire upgrade; if present, should lower race time
B: "Blogger" if you lose the race, you don't lose any "game points"; not expected to have any effect on race time
win: whether the car won the race or not
time: The race time over a quarter-mile; lower time = equals faster race
me: whether it was me racing the car in that race or not
PP: An integer that describes the overall performance of the car; a higher number means a better, faster car