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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 = -1.4 * weight + 128

This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
# Rider Weight (KG)
3 TANNER David70
4 SUMMERHILL Daniel70
5 SOHRABI Mehdi69
6 CHEUNG King Lok59
8 THOMSON Jay Robert75
10 MCCANN David73
12 WONG Kam-Po65
13 ASKARI Hossein73
14 RATHE Jacob74
15 WARBASSE Larry67
17 KEMPS Aaron73
18 MIZBANI Ghader67
19 WACKER Eugen65
21 JANORSCHKE Grischa78
24 VINTHER Troels Rønning68
27 JIANG Kun71
28 ALIZADEH Hossein62
29 XU Gang69
31 VAN BON Léon72
33 KIRSIPUU Jaan80
36 RADOCHLA Steffen70
37 FORKE Sebastian78
43 CRAWFORD Jai59
44 BREEN Vegard74
53 TOPCHANYUK Artem65
59 SULZBERGER Bernard67
70 JIAO Pengda65
71 SAI-UDOMSIN Phuchong60
74 BEUCHAT Roger62
86 LIU Biao67
103 BOILLAT Joris68