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

Stage 5 (Final)   »   Blois  ›  Blois   (97.5km)
2005 | Stage 5 (Final)
Blois › Blois (97.5km)
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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 = -0.7 * weight + 58

This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Veelers
1
75 kg
Reihs
2
75 kg
Ladagnous
3
73 kg
Weight (KG) →
Result →
75
73
1
3
# Rider Weight (KG)
1 VEELERS Tom75
2 REIHS Michael75
3 LADAGNOUS Matthieu73