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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 = -0.5 * weight + 86

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# Rider Weight (KG)
1 BINA Martin72
2 KOLÁŘ Michael90
3 BOROŠ Michael69
4 KAŇKOVSKÝ Alois83
5 LIEPIŅŠ Emīls67
8 TAMOURIDIS Ioannis70
11 VAN DER WEIJST Geert63
12 MALDONADO Anthony57
14 PÜTSEP Erki69
18 OCKELOEN Jasper66
21 EDMÜLLER Benjamin70
22 PRUUS Peeter71
23 DE GREEF Robbert65
24 STROETINGA Wim69
29 BOGDANOVIČS Māris68
31 TYBOR Patrik72
34 JANIACZYK Błażej68
40 BODNAR Łukasz68
42 GOGL Michael71
46 PODLASKI Michał68
51 ČERNÝ Josef75
57 STACHOWIAK Adam62
58 PAĎOUR František59
59 KADLEC Milan70
60 POLANC Jan62
69 BĒCIS Armands82
71 BERNAS Paweł77
72 DE LA PARTE Víctor64
76 TUREK Daniel72
78 GRADEK Kamil83
82 WITECKI Mariusz70
84 KROTKÝ Rostislav73
94 WIŚNIOWSKI Łukasz78
100 PAVLIČ Marko65
102 PREVAR Oleksandr64
105 NOVÁK Jakub71
107 MAHĎAR Martin61
111 TOPCHANYUK Artem65
113 POLNICKÝ Jiří68
122 SIZKO Antti70