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2013»54th

Tour du Loir et Cher E Provost

(2.2)
2013»Stage 3»VendômeBilly(212km)

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 = 1.2 * weight - 31

This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
#RiderWeight (KG)
2 DUPONT Timothy72
5 KLOSTERGAARD Kasper69
8 BREEN Vegard74
11 ARIESEN Johim70
12 DE VRIES Berden70
14 MORTENSEN Martin70
15 FOLSACH Casper81
17 MORICE Julien81
18 BOUDAT Thomas70
20 CARDIS Romain72
23 NORTHEY Michael James69
26 OELERICH Jan70
27 HOLLANDERS Dries70
32 ALAFACI Eugenio77
35 HOLLER Nikodemus58
39 ZANGERLE Joel63
42 NIKOLAEV Sergey66
43 VINJEBO Emil Mielke67
46 LEBAS Thomas65
49 CHAIGNEAU Robin80
59 SÜTTERLIN Jasha78
62 MONIER Damien75
63 ROUSSEAU Nicolas70
66 KONING Peter77
68 KOEP Thomas78
69 NAULEAU Bryan67
75 SCHACHMANN Maximilian71
78 FOTHEN Markus71
81 DRAPERI Matteo70
86 CALLEEUW Joeri71
88 BENFATTO Marco71
92 TZORTZAKIS Polychronis80
93 REINDERS Elmar78.1
98 FORKE Sebastian78
107 GRELLIER Fabien65
108 RENEV Sergey68
109 SARREAU Marc76
112 VAN LERBERGHE Bert83