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2017»67th

Paris-Chauny

(1.2)
2017»One day race»Compiègne Chauny(174.9km)

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 = 0.8 * weight - 28

This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
#RiderWeight (KG)
1 BOUDAT Thomas70
2 HABEAUX Grégory68
3 TURGIS Anthony70
4 RUIJGH Rob64
6 CAM Maxime61
7 RIOU Alan68
8 GUERIN Alexis64
9 PEYSKENS Dimitri69
10 HUYS Laurens61
11 GOUAULT Pierre61
12 HOFSTETTER Hugo66
13 MENTEN Milan68
14 VAN ROOY Kenneth70
15 VANTOMME Maxime63
16 VERWILST Aaron68
17 CARDIS Romain72
18 STEELS Stijn78
20 MASSON Christophe68
22 TRONET Steven67
23 STOCKMAN Abram67
25 DELTOMBE Kevin66
26 VAN STAEYEN Michael62
28 GODON Dorian74
31 VAN GOMPEL Mathias70
32 SALOMEIN Jarl80
35 LEVEAU Jérémy67
37 ANTOMARCHI Julien70
40 GUILLEMOIS Romain66
41 GUERNALEC Thibault71
42 PRODHOMME Nicolas63
45 RAILEANU Cristian63
49 CORNU Jérémy66
52 VALLÉE Boris79
54 VANHOUCKE Harm65
55 NOPPE Christophe73