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2005   »   46th Tour du Loir et Cher E Provost (2.2)

Stage 2   »   Mer  ›  Lamotte Beuvron   (165.5km)
2005 | Stage 2
Mer › Lamotte Beuvron (165.5km)
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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 * weight - 62

This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
# Rider Weight (KG)
1 DEKKERS Hans72
2 FLAHAUT Denis66
6 WAGNER Robert75
8 LADAGNOUS Matthieu73
16 SCHETS Steve74
17 DRUJON Mathieu75
19 DEHAES Kenny73
22 VEELERS Tom75
23 BOŽIČ Borut70