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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 = -1.2 * weight + 117

This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
# Rider Weight (KG)
1 HUSHOVD Thor83
2 WACKER Eugen65
3 MORIN Anthony79
4 MARKOV Alexei80
7 KARPETS Vladimir79
8 EDALEINE Christophe62
10 FÉDRIGO Pierrick66
12 PENCOLÉ Franck74
14 BRUTT Pavel70
15 NEUVILLE Jerome85
16 LJUNGQVIST Marcus73
17 LIESE Thomas75
20 ARVESEN Kurt-Asle74
22 VOECKLER Thomas71
25 HINAULT Sébastien63
26 KLIMOV Sergey69
31 SEROV Alexander77
33 LUPEIKIS Remigius80
35 ROBIN Jean-Cyril63
39 HERVÉ Cédric60
42 PLOUHINEC Samuel63
43 LAURENT Christophe72
45 RADOCHLA Steffen70
47 CLERC Aurélien71
48 JOHANSEN Allan78
52 JAN Xavier62
55 CHARTEAU Anthony67
61 SWEET Jay69
65 CALZATI Sylvain68
66 CORDES Tom70
72 AUGÉ Stéphane65
90 LHUILLIER Régis69
93 ZAMANA Cezary74