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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 = 0.6 * weight - 22

This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
# Rider Weight (KG)
1 LATOUR Pierre66
2 GALLOPIN Tony69
3 THOMAS Benjamin68
4 ROUX Anthony73
5 ANTOMARCHI Julien70
6 PAILLOT Yoann72
7 ARMIRAIL Bruno72
8 CHAVANEL Sylvain73
9 BERNARD Julien60
10 ROY Jérémy70
11 ERMENAULT Corentin75
12 PÉRICHON Pierre-Luc69
13 BRUNEL Alexys70
14 SEIGLE Romain63
15 CAVAGNA Rémi78
16 LE BON Johan70
17 CABOT Jérémy76
18 COUSIN Jérôme74
19 DELAPLACE Anthony65
20 ROSSETTO Stéphane68
21 PEREZ Anthony70
22 PETERS Nans72
23 LEROUX Samuel79
25 DUVAL Julien68
26 VACHON Florian65
27 GOUGEARD Alexis70
28 TURGIS Anthony70
29 MORICE Julien81
30 OURSELIN Paul70
34 GUERNALEC Thibault71
36 BALDO Nicolas73
37 RUSSO Clément74
38 MAITRE Florian71
47 LEPLINGARD Antoine68
49 LAGRÉE Adrien66
53 JARRIER Benoît69
57 AVOINE Kévin70
60 LECAMUS-LAMBERT Florentin79
61 DAVY Clément73