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2013»54th

Tour du Loir et Cher E Provost

(2.2)
2013»Stage 5 (Final)»BloisBlois(97.5km)

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 * weight - 29

This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
#RiderWeight (KG)
2 DUPONT Timothy72
3 BREEN Vegard74
7 KLOSTERGAARD Kasper69
10 DE VRIES Berden70
11 ARIESEN Johim70
14 ALAFACI Eugenio77
15 CARDIS Romain72
18 LEBAS Thomas65
19 NORTHEY Michael James69
21 ZANGERLE Joel63
22 HOLLER Nikodemus58
23 OELERICH Jan70
26 KONING Peter77
29 MORICE Julien81
31 MONIER Damien75
33 NAULEAU Bryan67
36 BOUDAT Thomas70
37 HOLLANDERS Dries70
38 SCHACHMANN Maximilian70
42 MORTENSEN Martin70
43 VINJEBO Emil Mielke67
44 KOEP Thomas78
48 SÜTTERLIN Jasha78
53 FOLSACH Casper81
54 CHAIGNEAU Robin80
63 VAN LERBERGHE Bert83
65 CALLEEUW Joeri71
66 DRAPERI Matteo70
68 SARREAU Marc76
72 REINDERS Elmar78.1
75 ROUSSEAU Nicolas70
76 GRELLIER Fabien65
87 BENFATTO Marco71
91 RENEV Sergey68
93 TZORTZAKIS Polychronis80
98 FOTHEN Markus71