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1990»

Tour de l'Oise

(2.3)
1990»Stage 4 (Final)»NoyonCompiègne(151.5km)

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 + 33

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bomans
1
74 kg
De Wilde
2
70 kg
Museeuw
4
71 kg
Weight (KG) →
Result →
74
70
1
4
#RiderWeight (KG)
1 BOMANS Carlo74
2 DE WILDE Etienne70
4 MUSEEUW Johan71