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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 = -0.2 * weight + 49

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
1 BARBIER Rudy79
2 MCLAY Daniel72
3 DUVAL Julien68
5 ALAPHILIPPE Julian62
6 TRONET Steven67
8 DE JONGE Maarten65
9 SPOKES Samuel63
13 SÉNÉCHAL Florian77
15 KERF Jerome71
16 VANSUMERE Ian68
17 KNEISKY Morgan68
18 LE ROUX Romain59
19 ROSSKOPF Joey74
20 BOUDAT Thomas70
22 PEDRERO Antonio60
23 WARNIER Antoine71
27 HRINKOW Dominik61
29 DUFRASNE Jonathan70
33 HNÍK Karel57
35 NAULEAU Bryan67
38 LECUISINIER Pierre-Henri65
48 FRISON Frederik84
50 ROBEET Ludovic75
53 POLAZZI Fabio63
58 JULES Justin64
61 ANTOMARCHI Julien70
77 POUILLY Félix66
85 GONÇALVES José70
86 KONRAD Patrick64
87 IMHOF Claudio80
89 MAURELET Flavien56
94 GONZÁLEZ PRIETO Aitor69
101 LEVEAU Jérémy67