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To frame it correctly you need to generate a null, convert the winning performances into Z scores, and then calculate some coeffcients of determination in order to establish cause and affect. My experience of doing this on horseracing data very often (though not exclusively) is that you end up with something where the correlation isn't as strong as it first appears and can usually be accounted for within the laws of normal distribution.


The anomoly of the cross country race is one I wa spondering years ago, and never really answered. Does a horse use up more energy having to sustain a gallop, or does it use up more energy if it's required to continually slow and then reaccelerate again? I always felt the answer lay in there. You should be able to work out the average speed per furlong between a cross country race and a conventional race, but it's only going to be loosely indicative at best. If Eider horses are running faster than the Cross Country horses though, you should have a pretty strong clue


5 + 3 = ?
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