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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 = -0.8 * weight + 104

This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
# Rider Weight (KG)
1 EDMONDSON Alex75
2 MOSCON Gianni71
3 KORSÆTH Truls Engen84
4 PETERS Nans72
5 BONNAMOUR Franck70
6 RÄIM Mihkel69
8 GRELLIER Fabien65
9 PEDERSEN Mads76
10 DOULL Owain71
11 MARTINELLI Davide71
12 HOELGAARD Daniel77
13 BRUSSELMAN Twan76
15 MYNGHEER Daan74
16 NEILANDS Krists69
17 PALUTA Michał65
18 BIEDERMANN Daniel67
19 JANSEN Amund Grøndahl83
21 WÜRTZ SCHMIDT Mads70
23 KOROŠEC Rok75
24 KERKHOF Tim76
25 ERIKSSON Lucas64
26 POLITT Nils80
27 GROßSCHARTNER Felix64
30 OIEN Justin68
31 KASPERKIEWICZ Przemysław71
32 TUSVELD Martijn70
33 WACHTER Alexander72
34 LIENHARD Fabian73
35 WIRTGEN Tom77
36 SPENGLER Lukas78
37 BOL Cees83
40 KATRAŠNIK Gašper69
41 PAGE Dylan64
42 BOHLI Tom71
43 HAVIK Piotr73
44 PAVLIČ Marko65
47 CAVAGNA Rémi78
48 BAŠKA Erik74
53 DIBBEN Jonathan78
55 STOSZ Patryk70
57 CUADROS Álvaro67
58 OWEN Logan67
61 PER David81
62 PERRY Benjamin71
64 NYCH Artem76
65 MACKINNON Sean75
67 LATHAM Christopher81
68 BELLAN Juraj61
69 BALLERINI Davide71
70 ACKERMANN Pascal78
76 NÕMMELA Aksel69
79 LAAS Martin76
80 CARBEL Michael73
81 JAMIESON Adam75
82 GREGAARD Jonas66
87 MCCORMICK Hayden72.5
88 KOISHI Yuma62
89 SÁEZ Héctor75
90 ARISTI Mikel72
91 BENITO Miguel Ángel67
92 MARTINGIL César67
94 KUZMIN Anton66
95 KOWALSKI Dylan67