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1995»36th

Tour du Loir et Cher E Provost

(NAT)
1995»One day race

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 = 0.1 * weight - 5

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Barthe
2
65 kg
Mikhaylov
3
74 kg
Weight (KG) →
Result →
74
65
2
3
#RiderWeight (KG)
2 BARTHE Stéphane65
3 MIKHAYLOV Gennady74