In addition, a multiple regression analysis confirms the importance of these variables. A graphic analysis clearly shows these relationships to exist. No light, precipitation was recorded on any of the unusually slow race days. Record breaking performances are characterized by a wet bulb temperature of 7.8☌, and a sky cover of 50% or less. The factors that help predict record breaking and unusually slow performances are: (i) wet bulb temperature, (ii) percent sky cover, and (iii) presence or absence of a light precipitation. These 90 individual performances were classified as: record breaking performances (31), average performances (35), and unusually slow performances (24). Performances of the top 3 finishers in the last 30 Boston Marathons were correlated with hourly meteorological data for each race day. ![]() Though these factors are important in their extremes, we show that other factors are even more indicative of race performances. Air temperature and relative humidity have long been suspected of affecting the performance of marathon runners.
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