This guy sounds like one of the many excellent posters that frequent this blog. He definitely went out and got a lot of data. However, I think this particular insight is a little bit round in the logic department. It is already well known that recruiters and ranking services use height/weight/40 values when assigning ranking values. If the ranking data is already known to be dependent on the height/weight/40 values then studying the ranking values to see if they are corralary to the height/weight values seems pretty pointless. That's what government science grants get you, obvious answers. No one can get money for experiments that are really crazy or groundbreaking :-P
"Sprint speed, height, and weight are the best predictors of how high school football players will be ranked by college recruiting scouts, reports a study in the May issue of The Journal of Strength and Conditioning Research, official research journal of the National Strength and Conditioning Association. The journal is published byLippincott Williams & Wilkins, a part of Wolters Kluwer Health."
"The study used scouting data on 2,560 elite high school football players between 2001 and 2009. Factors such as height and weight, sprint time, and vertical height jump were analyzed for association with the players’ “star” rankings, as assigned by a national rankingwebsite (www.scout.com). Dr. Ghigiarelli looked for factors that could differentiate “highly recruited” players (4- and 5-star rankings) from “recruited” players (2- and 3-star rankings). Both groups were considered competitive on the Division 1-A collegiate level."
"The results suggest that height, weight, and sprint speed are the key factors affecting rankings forhigh school football players. The article includes tables breaking down factors related to star rankings for players in ten different positions, which Dr. Ghigiarelli believes could help to guide trainingregimens for players who are at—or trying to reach—the elite competitive level. “These physical characteristics can be used as obtainable training goals,” he writes. “If these goals are reached, it’s plausible a player may increase the likelihood of obtaining more Division 1-A scholarship offers.”
This is a link to the whole paper. I don't want to read through a bunch of stats right now, but I'm hoping someone else does :-)