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2016»88th

Piccolo Giro di Lombardia

(1.2U)
2016»One day race»OggionoOggiono(163.1km)

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 - 15

This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
#RiderWeight (KG)
1 VANHOUCKE Harm65
2 VENDRAME Andrea60
3 LAMBRECHT Bjorg56
4 MÜLLER Patrick74
5 FRANKINY Kilian67
6 RAVASI Edward61
7 BALLERINI Davide71
8 ORSINI Umberto67
9 DLAMINI Nic66
10 COSNEFROY Benoît65
11 SCHÖNBERGER Sebastian64
12 PLANCKAERT Emiel69
14 DE BOD Stefan66
15 RIABUSHENKO Alexandr61
16 VAN GOMPEL Mathias70
17 LIVYNS Arjen58
19 SESSLER Nícolas58
22 PETERS Nans72
24 FORTUNATO Lorenzo57
26 COVILI Luca58
32 SCHACHMANN Maximilian71
33 PEARSON Daniel53
36 DAVIES Scott66
37 VLASOV Aleksandr68
45 WARLOP Jordi71
53 AFFINI Edoardo80
54 CONSONNI Simone60
55 CONCI Nicola68
57 LAFAY Victor65
59 MERTZ Rémy70
65 LANGELLOTTI Victor64
67 LOGICA Enrico62
68 ALBANESE Vincenzo70