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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 = -0.2 * weight + 55

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
3 DUPONT Timothy72
4 ALAFACI Eugenio77
6 DRAPERI Matteo70
8 NORTHEY Michael James69
9 CARDIS Romain72
10 KLOSTERGAARD Kasper69
11 TZORTZAKIS Polychronis80
12 BENFATTO Marco71
13 BREEN Vegard74
15 FOLSACH Casper81
21 ZANGERLE Joel63
24 CHAIGNEAU Robin80
26 OELERICH Jan70
28 SCHACHMANN Maximilian71
29 DE VRIES Berden70
30 HOLLER Nikodemus58
33 LEBAS Thomas65
35 BOUDAT Thomas70
39 MORICE Julien81
42 ARIESEN Johim70
45 KONING Peter77
46 KOEP Thomas78
51 MONIER Damien75
52 VAN LERBERGHE Bert83
53 CALLEEUW Joeri71
57 NAULEAU Bryan67
58 VINJEBO Emil Mielke67
60 GRELLIER Fabien65
65 SARREAU Marc76
68 SÜTTERLIN Jasha78
73 REINDERS Elmar78.1
74 HOLLANDERS Dries70
79 ROUSSEAU Nicolas70
84 MORTENSEN Martin70
86 RENEV Sergey68
93 FOTHEN Markus71