I took physics (completely lost, but multiple choice saved me) and statistics a long long time ago in a state far far away.
But pretty sure this article does suggest there is a positive correlation to exit velo in spring training and exit velo in regular season. It is just barely significant, but I think anything with an r value of .5 or …
I took physics (completely lost, but multiple choice saved me) and statistics a long long time ago in a state far far away.
But pretty sure this article does suggest there is a positive correlation to exit velo in spring training and exit velo in regular season. It is just barely significant, but I think anything with an r value of .5 or above is considered statistically significant.
Basically if Cags jacks balls at 115mph in spring training, he will probably see comparably high exit velos in the regular season. The closer those dots are together along a line, the more significant the correlation, but .5 is still noteworthy.
As I said, it has been a long time, and I could be wrong - my brain hurts
edit: the sample size is really small so encouraging but not a lock
I took physics (completely lost, but multiple choice saved me) and statistics a long long time ago in a state far far away.
But pretty sure this article does suggest there is a positive correlation to exit velo in spring training and exit velo in regular season. It is just barely significant, but I think anything with an r value of .5 or above is considered statistically significant.
Basically if Cags jacks balls at 115mph in spring training, he will probably see comparably high exit velos in the regular season. The closer those dots are together along a line, the more significant the correlation, but .5 is still noteworthy.
As I said, it has been a long time, and I could be wrong - my brain hurts
edit: the sample size is really small so encouraging but not a lock