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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 = 0.9 * weight - 18

This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
# Rider Weight (KG)
1 KAMYSHEV Arman67
2 LIGTHART Pim72
3 JARC Blaž87
4 KREDER Wesley71
5 BAZHKOU Stanislau65
7 CHRISTIAN Mark72
8 SKUJIŅŠ Toms70
9 BAJC Andi65
10 DÉMARE Arnaud76
11 FENN Andrew79
14 MARKUS Barry75
15 MANNION Gavin58
18 BÄR Michael66
19 ROBERT Fréderique68
21 PAPOK Siarhei76
22 SILVESTRE Fábio78
23 SAGAN Juraj65
26 KREDER Raymond70
27 STALNOV Nikita63
29 CARVALHO Rui60
31 ARGUELYES Arkimedes66
32 TOPCHANYUK Artem65
33 AREGGER Marcel70
34 MARTINEZ Yannick69
37 TRATNIK Jan67
40 MAHĎAR Martin61
42 BĒCIS Armands82
45 HAVIK Yoeri66
46 FOMINYKH Daniil70
51 LAMMERTINK Maurits61
54 MEZGEC Luka72
56 REICHENBACH Sébastien64
58 ZANGERLE Joel63
59 GONÇALVES José70
60 VAN ZANDBEEK Ronan72
61 HOFLAND Moreno71
62 MATHEOU Romain73
65 TEKLEHAIMANOT Daniel70
66 ZUBOV Matvey72
67 BENNETT George58
69 DUCHESNE Antoine75
70 WIPPERT Wouter75
74 SALOMEIN Jarl80
75 VASILYEV Maksym70
78 KLIMOV Sergey69
79 KUZNETSOV Viacheslav70
84 VINK Michael73
85 PAIANI Jean-Lou77
86 MONSALVE Yonathan62
88 ROWE Luke72
89 KASA Gabor72
93 THIÈRY Cyrille67
95 WALLAYS Jelle77
107 FLAKSIS Andžs79
114 PAULINHO Pedro75
115 DEGENKOLB John82