Are you better at long races or short ones? Those at the top of the table below have performed much better in the shorter races, those at the bottom much better in the longer races.
It is unsurprising to see Nicky heading the long-race specialists. In an analysis Nick did a couple of years ago, he pointed out that Nicky was the only club member whose best 10k time was less than double her best 5k time.
Sally Price |
Gareth Trimble |
Mark Bale |
Peter Watson |
Tony Hulme |
Mike Cooper |
Don Bullough |
Peter Carne |
Ian Ashcroft |
Catriona |
Rod Coombs |
Ian Smallwood |
Louisa Gilbert |
David Wheable |
Geoff Gilbert |
Sean Barry |
Stuart Parrott |
Amanda Bradbury |
Penny Hinke |
Tom McGaff |
Rob Downs |
Jane Saunders |
John Porteous |
Malcolm Fowler |
Trevor Faulkner |
Ray Noble |
Mick Fairs |
Sally Maddock |
Gavin Mendham |
Mike Halman |
Based upon the 49 races in which 20 or more Wilmslow members have run since January 2006 (for those who asked for your individual race charts it is the same races).
A short race is defined as less than 30 minutes for group 1 (40 minutes for Group 4). A long race more than 45 minutes Group 1 (an hour Group 4).
Only included are runners who have done at least 3 short and 3 long races during the period.
Appreciate any comments.
Ian
Hypothesis 1: tall people are better than short people over the shorter distances. If this alone were true, the table would correlate to rank order in hieght.
Hypothesis 2: people who train more miles per week are relatively better at long races than thos who train less, but still better than them over short distances as well, but will threfore still be nearer the bottom of the table. If this alone were true the table would correlate to miles per week.
Hypothsies 3: Height and training miles per week are not inter-correlated, but are only randomly associated. Therefore both factors are present and the table is ‘messy’ and does not correlate easily with either height or training miles.
How to test this: a multiple linear regression of table position against height and and miles per week should show a weak coefficient for both variables and a modest ‘R-squared’ indicating some statistical significance.
Over to you Professor Ashcroft.