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1999»86th

Tour de France

(GT)
1999»Stage 20 (Final)»ArpajonParis(160km)

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 + 2

This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
#RiderWeight (KG)
1 SALMON Benoît60
2 AERTS Mario68
3 GARCÍA Francisco Tomás80
4 MANCEBO Francisco64
5 PÉREZ RODRÍGUEZ Luis67
6 COMMESSO Salvatore66
7 DE WOLF Steve67
9 VERBRUGGHE Rik70
10 JAKSCHE Jörg69
11 VANDE VELDE Christian69
13 LEFÈVRE Laurent67
14 GIUNTI Massimo62
15 NAVAS David78
16 SACCHI Fabio68
17 MORIN Anthony79
18 DE WAELE Fabien62
19 PINOTTI Marco67
20 HINAULT Sébastien63
21 DA CRUZ Carlos74
22 LJUNGQVIST Marcus73
23 LANGELLA Anthony76
24 HORRILLO Pedro76
25 MAZZANTI Luca64
26 LODER Thierry62