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2007»2nd

Tour of California

(2.HC)
2007»Stage 7 (Final)»Long BeachLong Beach(124.7km)

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 + 51

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
#RiderWeight (KG)
1 HAEDO Juan José73
2 BROWN Graeme Allen76
3 HUSHOVD Thor83
4 BETTINI Paolo58
5 HENDERSON Gregory75
6 CIOLEK Gerald75
7 PAOLINI Luca66
8 O'GRADY Stuart73
9 VOIGT Jens76
10 DOMÍNGUEZ Iván72
11 RODRIGUEZ Fred68
12 LAURENT Christophe72
14 FÖRSTER Robert83
15 LEIPHEIMER Levi62
16 HORNER Chris70
17 MENZIES Karl86
18 GESINK Robert70
19 VOGELS Henk75
20 LAGUTIN Sergey68
22 COZZA Steven70
24 FRATTINI Davide63
25 WROLICH Peter68
26 GASPAROTTO Enrico65
27 ROGERS Michael74
28 ZAUGG Oliver58
29 FOFONOV Dmitriy65
31 DE GROOT Bram65
32 HAYMAN Mathew78
33 HINAULT Sébastien63
36 PATE Danny73
37 HANSEN Adam72
38 VISCONTI Giovanni63
40 VAN DE WALLE Jurgen74
41 VANDBORG Brian Bach75
42 DOWNING Russell64
43 VITORIA David74