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2016   »   53rd Trofeo Laigueglia (1.HC)

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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 = 0.4 * weight - 2

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# Rider Weight (KG)
1 FEDI Andrea70
2 COLBRELLI Sonny74
3 BOLE Grega69
4 FELLINE Fabio68
5 GAVAZZI Francesco65
6 ULISSI Diego63
7 VICHOT Arthur74
8 BUSATO Matteo67
9 MONTAGUTI Matteo65
10 LATOUR Pierre66
11 CUNEGO Damiano58
12 CICCONE Giulio58
13 POLANC Jan62
14 CHIRICO Luca58
15 HALILAJ Redi70
16 ROUX Anthony73
17 BARBIN Enrico60
18 VIGANÒ Davide67
19 FRAPPORTI Marco69
20 PACHER Quentin62
21 SANZ Enrique67
22 FILOSI Iuri70
23 FINETTO Mauro62
24 LOZANO David63
25 BIDARD François65
27 PETILLI Simone65
28 PARRINELLO Antonino68
29 NYCH Artem74
30 ZARDINI Edoardo62
32 ROTA Lorenzo62
33 SCHUMACHER Stefan71
34 BALYKIN Ivan68
35 PLANET Charles71
37 BONNAFOND Guillaume68
38 CONTI Valerio61
39 RATTO Daniele74
40 SAVITSKIY Ivan72
41 DENZ Nico71
42 LECUISINIER Pierre-Henri65
43 DE NEGRI Pier Paolo61
44 POZZATO Filippo73
45 TALIANI Alessio60
46 SELVAGGI Mirko73
47 GIRAUD Benjamin71
48 DUQUE Leonardo Fabio59
50 PASQUALON Andrea75
51 TROIA Oliviero80
53 CARBONI Giovanni61
55 THALMANN Roland61
56 ŠIŠKEVIČIUS Evaldas80
57 MEGÍAS Javier63