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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 + 34

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
1 DUPONT Timothy72
3 ALAFACI Eugenio77
4 CARDIS Romain72
5 BREEN Vegard74
6 ARIESEN Johim70
8 BENFATTO Marco71
12 DRAPERI Matteo70
13 SARREAU Marc76
14 KLOSTERGAARD Kasper69
17 VAN LERBERGHE Bert83
20 GRELLIER Fabien65
21 NORTHEY Michael James69
22 BOUDAT Thomas70
27 FOLSACH Casper81
29 ZANGERLE Joel63
30 DE VRIES Berden70
31 NAULEAU Bryan67
32 TZORTZAKIS Polychronis80
35 HOLLER Nikodemus58
36 HOLLANDERS Dries70
37 MORICE Julien81
38 MORTENSEN Martin70
40 CHAIGNEAU Robin80
41 RENEV Sergey68