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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 = 0.8 * weight - 20

This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
# Rider Weight (KG)
1 SIJMENS Nico69
2 MAASKANT Martijn76
4 VAN LEIJEN Joost73
5 VANENDERT Jelle62
6 LEEZER Tom76
7 BAGDONAS Gediminas78
11 GOTTFRIED Alexander60
13 KLEMME Dominic72
19 LISABETH Kenny75
21 PEETERS Kevin67
22 FLAHAUT Denis66
23 KRUOPIS Aidis80
26 VAN GENECHTEN Jonas67
30 DE GROOTE Thierry71
31 BIDEAU Jean-Marc73
33 BERTRAND Jonathan65
37 DEHAES Kenny73
40 CRETSKENS Wilfried75
42 PARDINI Olivier68
44 GODDAERT Kristof72
46 VAN STAEYEN Michael62
53 VEELERS Tom75
54 PAUWELS Serge65
61 VERMELTFOORT Coen85
64 DELFOSSE Sébastien73
65 DE GREEF Francis77
70 DE NEEF Steven75
74 BRUYLANDTS Dave63
81 SCHMITZ Bram77
84 SCHULTING Peter70
87 VAN EMDEN Jos78