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2016»36th

Tour de Normandie

(2.2)
2016»Stage 6 (Final)»Coutances Caen(150km)

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 = -0.6 * weight + 62

This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
#RiderWeight (KG)
1 DUPONT Timothy72
2 VERMELTFOORT Coen85
3 VEREECKEN Nicolas72
5 PARDINI Olivier68
6 PLANCKAERT Baptiste65
7 ARIESEN Tim70
8 BOL Cees83
9 MORA Sebastián70
10 TUSVELD Martijn70
11 KOWALSKI Dylan67
13 JANSEN Amund Grøndahl83
15 FERASSE Thibault61
17 HOELGAARD Markus74
18 DELTOMBE Kevin66
19 STEWART Thomas71
20 LEPLINGARD Antoine68
21 MENTEN Milan68
27 KRUOPIS Aidis80
28 HUPPERTZ Joshua66
29 WESTMATTELMANN Daniel75
30 LEVASSEUR Jordan74
31 MOL Wouter83
33 GREGAARD Jonas66
34 SILVESTRE Fábio78
36 SHAW James63
40 SCHULTZ Nick68
41 MATHIS Marco71
42 DE GREEF Robbert65
44 VANGSTAD Andreas70
46 BOULO Matthieu62
48 MCCONVEY Connor67