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One day race   »   Moskow  ›  Moskow   (165km)
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Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = -0.6 * weight + 97

This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# Rider Weight (KG)
1 KRASNOV Leonid65
5 KRIVTSOV Dmytro72
7 VASILYEV Maksym70
8 SEROV Alexander77
15 BOUGLAS Georgios71
21 BOGDANOVIČS Māris68
26 STROBEL Simon71
27 BĒCIS Armands82
30 RIABUSHENKO Alexandr61
33 DE KEIJZER Gerd72.6
34 AKHRAMENKA Yauheni78
39 LUCHSHENKO Sergey63
40 MUZYCHKIN Anton76
51 KRITSKIY Timofey81
53 ZHURKIN Nikolay77
59 KUSTADINCHEV Roman66
60 MANAKOV Victor77
63 BUDYAK Anatoliy53
64 CHIșINăU Carțin Victor70
68 AHIYEVICH Aleh70
71 MAMYKIN Matvey62
73 OVECHKIN Artem61
75 RAMANAU Raman68
84 EVTUSHENKO Alexander72
85 FOLIFOROV Alexander61
86 TAMOURIDIS Ioannis70
88 PRUUS Peeter71
93 ERSHOV Artur70
102 FLAKSIS Andžs79
103 PAPOK Siarhei76
106 KOSTYUK Denys66
109 ZAKARIN Ilnur67