Hi All,
As a 53 male what would be the expected % drop off for the following distances.
starting with 25m single length as the base
then 50m
then 100m
then 200m
Thank you
As a follow up: if I were really interested -- as a researcher -- in the question of suits I wouldn't use record curves or other age progression curves. I would probably use the top 10 times for the year before and the year after the ban and compare the effects of the ban on the times of people who appear in both lists. You could get a lot of relevant factors that way: age, event, course (short-course vs long course) and then you could create a model with whichever parameters are found to be significant.
One problem I see is that you would be missing one possibly important factor: body type or weight, since that information of course isn't available in the TT lists.
Anyway, it isn't hard to get the TT information for a given year: go to
www.usms.org/.../toptenlmsc.php
and start downloading. It is a little tedious since the biggest "chunk" of data one can get is by zone/course/year, so a given year will result in 24 different CSV files to be concatenated (I do wish one could download all the TT times for a given year/course in one CSV file rather than eight...).
As a follow up: if I were really interested -- as a researcher -- in the question of suits I wouldn't use record curves or other age progression curves. I would probably use the top 10 times for the year before and the year after the ban and compare the effects of the ban on the times of people who appear in both lists. You could get a lot of relevant factors that way: age, event, course (short-course vs long course) and then you could create a model with whichever parameters are found to be significant.
One problem I see is that you would be missing one possibly important factor: body type or weight, since that information of course isn't available in the TT lists.
Anyway, it isn't hard to get the TT information for a given year: go to
www.usms.org/.../toptenlmsc.php
and start downloading. It is a little tedious since the biggest "chunk" of data one can get is by zone/course/year, so a given year will result in 24 different CSV files to be concatenated (I do wish one could download all the TT times for a given year/course in one CSV file rather than eight...).
