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2006   »   47th Tour du Loir et Cher E Provost (2.2)

Stage 2   »   Nouan-le-Fuzelier  ›  La Motte-Beuvron   (203km)
2006 | Stage 2
Nouan-le-Fuzelier › La Motte-Beuvron (203km)
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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 = -0.4 * weight + 29

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Roelandts
1
78 kg
Suray
5
67 kg
Weight (KG) →
Result →
78
67
1
5
# Rider Weight (KG)
1 ROELANDTS Jürgen78
5 SURAY Gil67