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2000»41st

Tour du Loir et Cher E Provost

(2.6)
2000»Stage 6 (Final)»BloisBlois(93km)

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 + 22

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Rasch
3
72 kg
Dion
8
65 kg
Traksel
10
72 kg
Weight (KG) →
Result →
72
65
3
10
#RiderWeight (KG)
3 RASCH Gabriel72
8 DION Renaud65
10 TRAKSEL Bobbie72