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Milano-Vignola

1952»One day race»RogoredoVignola(250km)

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 = -2.5 * weight + 205

This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Bevilacqua
1
80 kg
Bartali
29
69 kg
Weight (KG) →
Result →
80
69
1
29
#RiderWeight (KG)
1 BEVILACQUA Antonio80
29 BARTALI Gino69