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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 = -0.3 * weight + 53

This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# Rider Weight (KG)
1 BRUNEL Alexys70
2 HAYTER Ethan70
3 HIRSCHI Marc61
4 PRIMOŽIČ Jaka60
5 RIES Michel67
7 VAN BOKHOVEN Ramon79
9 GAZZOLI Michele76
11 VAN DEN BERG Lars72
12 BISSEGGER Stefan78
13 JERMAN Žiga67
14 JULLIEN Anthony72
16 PIDCOCK Thomas58
18 WRIGHT Fred75
19 VANHOOF Ward75
20 MOZZATO Luca67
25 GRIGNARD Sébastien68
26 SCHELLING Ide66
33 VERSCHAEVE Viktor62
34 HORVAT Žiga70
39 POGAČAR Tadej66
40 VAN DER HORST Dennis62
44 GRESSIER Maxime67
47 HEIDERSCHEID Colin73
52 SMIRNOV Aleksandr69
53 SCOTT Robert73
54 MAAS Danny64
55 WIRTGEN Luc63
57 ROJUS Adomaitis83
58 BURGAUDEAU Mathieu61
61 MARIT Arne72
68 BERGSTRÖM FRISK Erik67
73 DONEGÀ Matteo65