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2017   »   30th Ain Bugey Valromey Tour (2.1)

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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 = -2.8 * weight + 245

This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
# Rider Weight (KG)
1 BRUSTENGA Marc80
2 RENARD Alexis74
3 KIELICH Timo73
5 VERMEERSCH Florian81
6 VERVLOESEM Xandres65
8 BENNASSAR Joan Marti75
11 NONNEZ Théo63
14 PAQUOT Tom70
18 LOUVEL Matis77
19 VAN DER BEKEN Aaron66
23 MONTAUBAN Jeremy68
24 REX Laurenz82
26 HELLEMOSE Asbjørn65
27 KAESEMANS Jasper66
30 VAN VUCHELEN Tom74
31 PATTYN Steven63
34 CHAMPION Thomas66
35 OLOCCO Pietro75
43 BARRÉ Louis68
46 VANDEBOSCH Toon69
49 DELACROIX Théo70
55 BENZ Pirmin68
56 BOILEAU Alan57
58 HEIDUK Kim70
66 AVADANIAN Lucas66
68 VANHOOF Ward75
72 DE GREEF Tim61
86 LIPPMANN Axel75
87 BAGUELIN Jocelyn72
97 GARCÍA PIERNA Carlos58
98 LECLAINCHE Gwen65
104 CAPRON Rémi59
107 GARCÍA GONZÁLEZ Sergio62
110 DOPCHIE Felix65
112 RICHARD Maxime55
126 FONTAINE Emerson66
139 DELPHIS Thomas70