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2003»23rd

Tour de Normandie

(2.5)
2003»Stage 4»Flers Valognes (178km)

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 + 35

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
#RiderWeight (KG)
1 DEKKERS Hans72
2 DUMOULIN Samuel57
3 HADDOU Saïd80
11 LEQUATRE Geoffroy64
18 BONSERGENT Stéphane66
20 MORAJKO Jacek65
28 VALENTIN Tristan69
30 LAURENT Christophe72
32 VANSUMMEREN Johan79
41 LJUNGBLAD Jonas70
58 LOOSLI David71
62 DE KORT Koen69
71 ELIJZEN Michiel80
73 LEFEVRE David66
74 MURAVYEV Dmitriy75
79 POSTHUMA Joost76
80 GERRANS Simon62
82 COUTOULY Cédric72
86 VAN DEN BROECK Jurgen69
87 DUCLOS-LASSALLE Hervé63
88 DURAND Jacky76
91 FINOT Frédéric65
101 FUKUSHIMA Shinichi62
103 BENČÍK Petr73
107 FRITSCH Nicolas65
109 TALABARDON Yannick67
110 VAN HUMMEL Kenny64
111 MOURIS Jens91
114 VAN HECKE Preben69
119 RASCH Gabriel72