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2013»32nd

Giro di Basilicata

(2.1)
2013»Stage 2»Tito ScaloTito(80km)

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 = 0.9 * weight - 20

This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
#RiderWeight (KG)
2 RIVIÈRE David63
3 POWER Robert68
4 ROTA Lorenzo62
5 FEDELI Alessandro65
7 FORTUNATO Lorenzo57
8 PARET-PEINTRE Aurélien64
9 NYCH Artem74
11 ROCHAS Rémy51
12 LIZDE Seid70
13 CAVANAGH Ryan72
14 KURIANOV Stepan74
17 NOVAK Domen70
18 GESBERT Élie63
21 RUČIGAJ Žiga68
22 BONNAMOUR Franck70
25 BUDYAK Anatoliy53
26 FABBRO Matteo52
27 JOURNIAUX Axel63
29 DINKLER Jonathan61
34 MANDRYSCH John73
47 RIABUSHENKO Alexandr61
53 ROTONDI Matteo63
60 KATRAŠNIK Gašper69
64 FRANGIONI Alessandro60
66 MAGNO Michele62
86 ZHYHUNOU Dzmitry72
90 STROKAU Vasili74
95 GIDICH Yevgeniy69
120 CHIRIACO Ambrogio64
123 BERGER Leon66
132 PADUN Mark67