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1998»19th

Grand Prix d'Ouverture La Marseillaise

(1.4)
1998»One day race»La Seyne-sur-MerGardanne(141.5km)

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 - 10

This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
#RiderWeight (KG)
2 VIRENQUE Richard65
3 DJAVANIAN Viatcheslav64
4 FARAZIJN Peter69
5 BOUVARD Gilles70
7 VOIGT Jens76
8 GOUGOT Fabrice72
9 BESSY Frédéric65
10 BASSONS Christophe74
11 ROUS Didier70
12 GUIDI Fabrizio73
13 KIVILEV Andrei64
14 JØRGENSEN René60
16 PEERS Chris73
17 HAMBURGER Bo58
18 AUS Lauri75
19 AERTS Mario68
21 MONCOUTIÉ David69
24 POLI Eros87
25 HOLM SØRENSEN Brian77
26 HALGAND Patrice67