Backdrop: I'm 50 pages into Trading Bases, a book by Joe Peta, who got his MBA at Stanford, went to Wall Street and became a trader, then ended up churning baseball data into a new (and lucrative) art form. Part of his process relied upon an earlier methodology by a gentleman (whose name escapes me) who is credited with developing the "baseball pythagorean theorem," which is a statistical analysis of runs scored and runs allowed to determine a correlation between runs scored and runs allowed, and a team's winning percentage. The earlier researcher came up with the following formula: (# of runs scored)^2 divided by [(# of runs scored)^2 + (# of runs allowed)^2] = Team's Winning Percentage. Through regression analysis and other processes, Mr. Peta determined that the correlation is more accurate when the factors aren't raised to the 2nd power (squared), but raised to a power of 1.83.
My question is, what is the process of raising a number to the 1.83 power? I used to know this and no longer do. Skillet, 4Real, anyone, can you help a brutha out? TIA.
My question is, what is the process of raising a number to the 1.83 power? I used to know this and no longer do. Skillet, 4Real, anyone, can you help a brutha out? TIA.