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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 = 0.5 * weight - 18

This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# Rider Weight (KG)
1 COPPEL Jérôme64
2 ROSSETTO Stéphane68
3 CHAVANEL Sylvain73
5 SICARD Romain63
6 GOUGEARD Alexis70
7 VOECKLER Thomas71
8 DELAPLACE Anthony65
9 ROUX Anthony73
10 LE BON Johan70
11 PÉRICHON Pierre-Luc69
12 TURGOT Sébastien73
13 VACHON Florian65
14 PEREZ Anthony70
16 VAUGRENARD Benoît72
17 PETERS Nans72
18 PAILLOT Yoann72
19 MORICE Julien81
20 GAUDIN Damien85
21 CAVAGNA Rémi78
22 COUSIN Jérôme74
23 NAULEAU Bryan67
27 BALDO Nicolas73
28 GÉRARD Arnaud70
29 LECUISINIER Pierre-Henri65
30 GUILLEMOIS Romain66
31 OURSELIN Paul70
32 VAUBOURZEIX Thomas70
35 SÉNÉCHAL Florian77
36 MAITRE Florian71
37 LEPLINGARD Antoine68
38 KOWALSKI Dylan67
40 GUERIN Alexis65
41 ERMENAULT Corentin75
53 LEROUX Samuel79