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1999»36th

Tour de l'Avenir

(2.5)
1999»Stage 10 (Final)»Sauveterre-de-Béarn Saint-Jean-de-Luz (132km)

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 - 10

This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Trampusch
1
60 kg
Wrolich
2
68 kg
Renier
3
69 kg
Weight (KG) →
Result →
69
60
1
3
#RiderWeight (KG)
1 TRAMPUSCH Gerhard60
2 WROLICH Peter68
3 RENIER Franck69