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2007»33rd

Boucles de la Mayenne

(2.2)
2007»Stage 1»LavalBonchamp(184km)

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 = -1.9 * weight + 167

This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
#RiderWeight (KG)
1 TRAKSEL Bobbie72
3 ALBERT Niels73
5 RASMUSSEN Alex88
6 FEILLU Romain62
9 COMMEYNE Davy70
11 DELPECH Jean-Luc72
12 CALDEIRA Samuel José76
16 VEELERS Tom75
17 BLOT Guillaume71
18 OMLOOP Geert78
19 SIMON Julien65
20 BOUET Maxime67
21 GALLOPIN Tony69
24 MATA Enrique72
26 VOGONDY Nicolas62
28 QUÉMÉNEUR Perrig67
29 HERRADA José65
39 BICHOT Freddy67
40 EL FARES Julien62
41 HERVÉ Cédric60
55 SOKOLOV Evgeny70
58 NYS Sven73
62 DURET Sébastien62
67 KRUIJSWIJK Steven63
76 BONSERGENT Stéphane66
80 SILVA Sandro Filipe60
81 TOMBAK Janek71
84 TORRENT Carlos71
91 FOX Morgan70
98 STAM Danny64
99 ROSSETTO Stéphane68