In a football manager game, there are many players as in this screenshot:
y is the average rating of a player, my sample size
N is big enough, and
x1,x2,x3,...,x30 are the attributes like finishing, acceleration and pace (which can take values from 1 to 20). No attribute has a negative effect.
Can I use regression or another technique to find parameters such as:
In other words, after sampling
N players, I want to know which attribute has the most effect in average rating, and which the least, and a scale to know how much more important is one attribute compared to the least important one.