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2014»86th

Piccolo Giro di Lombardia

(1.2U)
2014»One day race»OggionoOggiono(170.8km)

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 = -0.5 * weight + 54

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
#RiderWeight (KG)
1 MOSCON Gianni71
2 TEUNS Dylan64
3 LATOUR Pierre66
4 PETERS Nans72
5 BIDARD François65
7 VLIEGEN Loïc70
8 TIZZA Marco58
9 WARNIER Antoine71
11 CICCONE Giulio58
12 HOELGAARD Markus74
13 STERBINI Luca72
14 KNOX James58
15 TONELLI Alessandro64
16 GAROSIO Andrea58
17 VERMEULEN Alexey66
18 GUERIN Alexis64
19 PEARSON Daniel53
20 RAVASI Edward61
21 BERLATO Giacomo60
22 MASNADA Fausto65
23 DECLERCQ Benjamin67
24 NYCH Artem74
28 SPOKES Samuel63
29 KERKHOF Tim76
30 NOPPE Christophe73
31 DE WITTE Mathias61
32 PIBERNIK Luka60
34 GABBURO Davide63
35 BAILLIFARD Valentin54
37 SPREAFICO Matteo69
48 DEBENEDETTI Davide56
50 DERUETTE Thomas70
53 BADILATTI Matteo62
54 DE TIER Floris60