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2019»60th

Tour du Loir et Cher E Provost

(2.2)
2019»Stage 5 (Final)»BloisBlois(97km)

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 = 0.3 * weight - 4

This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
#RiderWeight (KG)
1 JOHANSEN Julius77
2 DEBEAUMARCHÉ Nicolas75
4 VAN DEN DOOL Jens68
6 VAN DEN BERG Lars72
8 MARIAULT Axel58
9 VANHOOF Ward75
10 AVOINE Kévin70
12 JULLIEN Anthony72
14 EINHORN Itamar72
15 MONTAUBAN Jeremy68
16 GRIGNARD Sébastien68
17 BERGSTRÖM FRISK Erik67
18 VERGER Simon58
20 CHAMPOUSSIN Clément61
21 GRONDIN Donavan77
25 NOLDE Tobias79
26 DELPHIS Thomas70
27 WÆRENSKJOLD Søren92
28 O'MAHONY Darragh69
29 OTRUBA Jakub75
31 MCDUNPHY Conn70
33 LECAMUS-LAMBERT Florentin79