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2023   »   60th Trofeo Laigueglia (1.Pro)

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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 = -0.3 * weight + 36

This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# Rider Weight (KG)
1 PETERS Nans72
2 VENDRAME Andrea60
3 COVI Alessandro66
4 ROTA Lorenzo62
5 CHAMPOUSSIN Clément61
6 GRÉGOIRE Romain64
7 CEPEDA Jefferson Alexander56
8 COSNEFROY Benoît65
9 ULISSI Diego63
10 ZIMMERMANN Georg70
11 CALMEJANE Lilian70
12 GERMANI Lorenzo62
13 PICCOLO Andrea64
14 COSTIOU Ewen64
15 RODRÍGUEZ Carlos67
16 LAFAY Victor65
17 MONIQUET Sylvain61
18 MOLARD Rudy62
19 BAUDIN Alex64
20 GAVAZZI Francesco65
21 GIBBONS Ryan70
22 COVILI Luca58
23 TIZZA Marco58
24 DEBRUYNE Ramses66
25 EIKING Odd Christian75
26 FORTUNATO Lorenzo57
27 TEUGELS Lennert64
28 WOOD Harrison64
29 KUDUS Merhawi58
30 FOLDAGER Anders69
31 VENTURINI Clément60
33 TIVANI German Nicolás67
34 PELLIZZARI Giulio66
35 MARTINEZ Lenny52