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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 + 105

This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
# Rider Weight (KG)
1 MOSCHETTI Matteo73
2 WEEMAES Sasha73
3 KANTER Max68
4 BARBIER Pierre69
5 JERMAN Žiga67
6 ROSTOVTSEV Sergey73
7 OLIVEIRA Rui66
9 LONARDI Giovanni70
11 DAINESE Alberto70
12 RUTSCH Jonas82
13 THIJSSEN Gerben74
14 TAMINIAUX Lionel74
15 WALLS Matthew72
16 CULLAIGH Gabriel78
17 RÜEGG Lukas66
20 DE JONG Timo72
22 DEKKER David80
23 MEEUS Jordi80
24 JORGENSON Matteo69
25 TIMMERMANS Justin72
27 MONK Cyrus67
28 POGAČAR Tadej66
29 KURIANOV Stepan74
30 WIRTGEN Luc63
32 SALBY Alexander68
33 HEIDERSCHEID Colin73
34 FITZWATER Matias67
35 KOOISTRA Marten74
36 OREEL Lars72
39 MÄDER Gino61
41 HEANEY Marc67
45 STEWART Jake66
47 HULGAARD Morten73
48 BELLAN Juraj61
49 GONZÁLEZ David68
54 WALLIN Rasmus Bøgh78
55 HALLER Patrick68
57 NABERMAN Tim70
61 BEULLENS Cedric79
62 TSOY Vladimir73
63 DIMA Emil73
64 IDJOUADIENE Pierre69
66 REUTTER Sven72
68 NATAROV Yuriy68
69 JENNER Samuel64
72 WILLEMS Thimo67
73 GROŠELJ Matic70
74 LEYDER Pit69
75 LARSEN Mathias Alexander Erik72
76 AFFINI Edoardo80
77 STOKBRO Andreas70
80 BISSEGGER Stefan78
82 JONES Ollie75
83 WRIGHT Fred75
84 ŠTOČEK Matúš80
86 RENARD Alexis74
95 SEVILLA Diego Pablo64
96 CANTÓN Isaac65
98 CHZHAN Igor71
100 CAMPOS Francisco60
102 KONYCHEV Alexander76
104 HORVAT Žiga70
109 NOLDE Tobias79
110 VIEGAS Daniel70
111 SALGUEIRO Carlos Miguel68
113 ISHIGAMI Masahiro58
114 YAMAMOTO Masaki63