Let’s say one of the predictor variables in a regression model is 3-point shooting percentage. However, some of the observations (players) only have one or two attempts while others have several more. In a regression model, what are some techniques so the ability demonstrated over a large number of attempts will be awarded a relatively larger magnitude value than in cases where there are less attempts?
Player 3PA 3PM 3P% Player 2 174 52 29.9% Player 3 156 64 41.0% Player 4 4 3 75.0% Player 5 134 45 33.6%
Player #4’s low sample size is not as reliable as the other observations but it’s not meaningless. Are there transformations or other techniques for handling this?