Warrior General Games

So what were the top 2?

Originally posted by plcmds
So what were the top 2?

Level and number of punts.

I don't see that in his posts.

Originally posted by toppshelff
Originally posted by caesarrodneybengal

R squared is considered about average at .6, low at .4 and high at .8

An R squared of .4 means that only 40% of your variation in sample data was accounted for by the regression curve. That says to me that your regression was very weak

If you have only 2 variables, 0.4 would be low. When you have many variables involved, 0.4 could be strong. Actually, I've seen values of 0.2 be considered pretty strong in a very complex scenario.

I would hope that there is an equation somewhere that is very highly predictive of punting distance. Probably the equation that Bort uses, for instance. And even it will have some random variables in it to ensure a significant variation.

I still do not put much stock in a very low Rsquared value...

I build statistical models as part of my job, I see nothing wrong with low r-squared values as long as the multiple variables can build a predictive model with a good correlation. 18 samples is rather small though.