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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 = -0.2 * weight + 68

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# Rider Weight (KG)
2 FARRAR Tyler73
3 PICHOT Alexandre72
4 JÉRÔME Vincent65
5 GROSDENT William74
7 VEELERS Tom75
8 CIOLEK Gerald75
10 TANNER David70
13 GALLAND Jérémie62
14 VAN AVERMAET Greg74
17 WYSS Danilo65
18 LEVARLET Guillaume67
22 VAN GROEN Arnoud69
24 DEVILLERS Gilles62
26 NEIRYNCK Stijn78
27 CORNU Dominique78
29 IRIONDO Iban69
37 LEEZER Tom76
40 BAGDONAS Gediminas78
45 VANDENBERGH Stijn86
47 GAJEK Artur74
59 GESINK Robert70
63 TIMMER Albert77
69 SURAY Gil67
72 QUÉMÉNEUR Perrig67
76 BELGY Julien68
77 CALLEEUW Joeri71
80 PAUWELS Serge65
82 ROELANDTS Jürgen78
86 VITORIA David74
92 COZZA Steven70
93 DE JONGE Maarten65
109 BLOT Guillaume71
116 GOURGUE Benjamin62
120 VANHEULE Bart76
124 INGELS Nick70
125 CAPPELLE Dieter76