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Tour de Hongrie

(2.2)
2007»Stage 1»GyomroKazincharicika(210.3km)

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 + 44

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
3 RIŠKA Martin73
5 SZEGHALMI Balint66
8 PÖLL Stefan60
18 GERGANOV Evgeni60
22 BÁRTA Jan75
34 GYUROV Spas75
36 VAN GROEN Arnoud69
38 NAGY Robert52
39 ČANECKÝ Marek72
48 VASYLYUK Andriy65
59 CHARUCKI Paweł64