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2013   »   Five rings of Moscow (2.2)

Stage 1   »   Moscow  ›  Moscow   (163.2km)
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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 = 0.9 * weight - 9

This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
# Rider Weight (KG)
1 BUTS Vitaliy68
3 JANORSCHKE Grischa78
10 BOGDANOVIČS Māris68
13 FIRSANOV Sergey58
14 BOUGLAS Georgios71
15 GALEYEV Vadim68
18 ZUBOV Matvey72
23 VASYLYUK Andriy65
27 TYBOR Patrik72
31 AHIYEVICH Aleh70
35 NIKOLAEV Sergey66
36 RAMANAU Raman68
39 LAGKUTI Sergiy68
40 SAMOILAU Branislau77
41 JURČO Matej69
42 ZAKARIN Ilnur67
50 DE LA PARTE Víctor64
52 KLIMOV Sergey69
60 KOCHETKOV Pavel70
63 RYBAKOV Alexander65
66 BRONIŠ Roman74
78 SHEMETAU Mikhail79
84 SHUSHEMOIN Alexandr62
85 KOSTYUK Denys66
89 ZEMLYAKOV Oleg70
92 MUZYCHKIN Anton76
106 DILLEY Benjamin72
118 MAHĎAR Martin61
121 DE KEIJZER Gerd72.6
125 CREMERS Ruud76