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1999   »   40th Tour du Loir et Cher E Provost (NAT)

One day race
1999 | One day race
(0km)
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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 = -0.2 * weight + 16

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Hushovd
1
83 kg
Rasch
3
72 kg
Weight (KG) →
Result →
83
72
1
3
# Rider Weight (KG)
1 HUSHOVD Thor83
3 RASCH Gabriel72