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1965»22nd

Tour de Pologne

1965»General classification

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 = -1.3 * weight + 101

This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Hanusik
4
74 kg
Gazda
6
69 kg
Podobas
18
70 kg
Weight (KG) →
Result →
74
69
4
18
#RiderWeight (KG)
4 HANUSIK Zygmunt74
6 GAZDA Stanislaw69
18 PODOBAS Wiesław70