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The study showed how finish time changes with temperature, and the results are shown in the following graph.
http://jfsavage.smugmug.com/photos/817939120_uZxSb-OS.jpg
This graph works well for runners finishing the race at 3 hour pace or faster, but that excludes the majority of marathon runners. How can we extend this to slower runners?
The approach I've taken is to assume the decline is linear from the end points of each curve, as shown by the colored lines. This will give us a projection of performance decline and I’ve created a table at the end of this page based on this assumption.
http://jfsavage.smugmug.com/photos/818611486_iAHcm-OS.jpg
==Your Mileage May Vary==
| 6:00:00||6:21:36 (11%)||6:43:12 (21%)||7:04:48 (32%)||7:26:24 (43%)
|}
Example usage: You expect to run a 4:20 in 40 degree weather, but it’s going to be 70. Looking across the 4:20 line to the 70 degree column you find 4:53, which is a 19% reduction in performance.
==The Details==
The study looked at 140 marathon results from 6 races (Boston, New York, Twin Cities, Grandma's, Richmond, Hartford, and Vancouver). Only the first 300 finish times were used as races only started recording all finishers in the 1990s. This gives a pool of 42,000 finish times. The races were divided up into four groups
* [[Heat Acclimation Training]]
* [[Cramps]]
* [[Excel Macros for pace]] (That's how the table above was created)
==References==
<references>