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2013»55th

Paris-Troyes

(1.2)
2013»One day race»ProvinsTroyes(174.2km)

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 = -0.4 * weight + 70

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
#RiderWeight (KG)
1 BIDEAU Jean-Marc73
2 VAUBOURZEIX Thomas70
3 DUVAL Julien68
4 DRUJON Mathieu75
7 PAIANI Jean-Lou77
8 YATES Adam58
10 BRUN Frederic73
11 GMELICH MEIJLING Jarno77
12 DE JONGE Maarten65
13 MARINO Jean-Marc65
14 COMBAUD Romain63
16 JULES Justin64
17 DURET Sébastien62
19 MÉDEREL Maxime59
23 GALLAND Jérémie62
24 MARTINEZ Yannick69
25 ŠIŠKEVIČIUS Paulius70
36 PLOUHINEC Samuel63
38 SCHMIDT Fabien63
40 HATSUYAMA Sho59
41 KNEISKY Morgan68
42 MAISON Jérémy61
46 LAENGEN Vegard Stake79
47 BREEN Vegard74
48 PAILLOT Yoann72
51 FONSECA Armindo56
53 GUARDIOLA Salvador65
54 GUILLOU Florian71
57 LEBAS Thomas65
58 MONIER Damien75
59 ENGOULVENT Jimmy82
62 JEANDESBOZ Fabrice69
63 ROSSETTO Stéphane68
73 CABOT Jérémy76
75 LE ROUX Romain59
78 SONNERY Blaise60
83 SEPÚLVEDA Eduardo59
91 SHIMIZU Miyataka60
95 HRINKOW Dominik61
96 POUX Paul70
102 SKJERPING Kristoffer71
105 FOURNIER Marc71