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Paris-Arras Tour

(2.2)
2013»Stage 2 (Final)»ArrasArras(182.5km)

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 + 69

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
#RiderWeight (KG)
1 ROSSKOPF Joey74
2 DUVAL Julien68
4 BARBIER Rudy79
5 TRONET Steven67
6 MCLAY Daniel72
7 LECUISINIER Pierre-Henri65
8 SÉNÉCHAL Florian77
14 ALAPHILIPPE Julian62
18 SPOKES Samuel63
21 VANSUMERE Ian68
22 KERF Jerome71
24 BOUDAT Thomas70
28 KNEISKY Morgan68
29 LE ROUX Romain59
33 HNÍK Karel57
34 DE JONGE Maarten65
35 WARNIER Antoine71
38 PEDRERO Antonio60
39 HRINKOW Dominik61
42 NAULEAU Bryan67
43 DUFRASNE Jonathan70
49 JULES Justin64
51 ROBEET Ludovic75
54 FRISON Frederik84
55 ANTOMARCHI Julien70
60 POLAZZI Fabio63
78 POUILLY Félix66
85 GONÇALVES José70
88 KONRAD Patrick64
90 IMHOF Claudio80
93 MAURELET Flavien56
95 GONZÁLEZ PRIETO Aitor69
97 LEVEAU Jérémy67