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1996»57th

Paris-Camembert

(1.2)
1996»One day race»MagnanvilleVimoutiers(200km)

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 = -0.2 * weight + 56

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
1 BAFFI Adriano70
2 ROUS Didier70
7 LEFÈVRE Laurent67
8 DURAND Jacky76
10 RINERO Christophe65
12 PRETOT Arnaud71
15 JEMISON Marty71
17 SIMON François70
19 GOUBERT Stéphane62
21 MENGIN Christophe68
22 VAN DE WOUWER Kurt66
26 BELTRÁN Manuel60
27 HEULOT Stéphane69
28 BOUVARD Gilles70
29 VAN HYFTE Paul70
31 MARIE Thierry68
41 SALMON Benoît60
44 RUÉ Gérard74
45 BROŻYNA Tomasz65
50 HAMILTON Tyler65
51 SAUGRAIN Cyril62
55 HALGAND Patrice67
58 AGNOLUTTO Christophe69
59 CHANTEUR Pascal62
62 MARICHAL Thierry72
65 BARTHE Stéphane65
66 KASPUTIS Artūras83
67 DEMARBAIX Sébastien64
73 HUNT Jeremy76
74 VERBRUGGHE Rik70
75 CAPELLE Christophe73
81 NARDELLO Daniele74
85 BESSY Frédéric65
87 BORDENAVE Philippe55
88 NAZON Damien68