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2013   »   16th Beverbeek Classic (1.2)

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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 = 0.1 * weight + 45

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
# Rider Weight (KG)
1 VAN DER LIJKE Nick61
2 HOLLANDERS Dries70
4 DERNIES Tom68
5 SENTJENS Roy75
6 BOONS Ruben85
10 VAN DER WEIJST Geert63
11 MCLAY Daniel72
13 VALLÉE Boris79
16 BOUWMAN Koen60
24 VERNAECKT Thomas68
25 BENNETT Sam73
26 SALOMEIN Jarl80
27 STASSEN Julien66
29 PIETERS Sibrecht73
31 VANDYCK Niels64
32 ASSELMAN Jesper69
33 MOSER Ignazio88
39 ZABEL Rick81
41 VANBILSEN Kenneth73
43 PEETERS Kevin67
45 DHAENE Brecht73
46 DUFRASNE Jonathan70
49 SPRENGERS Thomas60
51 HAVIK Yoeri66
52 CASTELIJNS Twan70
55 GUARDIOLA Salvador65
56 THEUNS Edward72
57 VANSUMERE Ian68
60 GROENEWEGEN Dylan70
61 PARDINI Olivier68
67 PREMONT Christophe69
68 SKJERPING Kristoffer71
72 DE ROOZE Niels62
75 COENEN Johan67
76 DE WINTER Ludwig83
77 NOVÁK Jakub71
78 WILLIAMS Tyler73
79 DEMOITIÉ Antoine69
80 MINNAARD Marco65
84 BREEN Vegard74
85 KERF Jerome71
86 CAMPENAERTS Victor68
87 DUNNE Conor88
98 BAILLIFARD Valentin54
104 BAUGNIES Jérôme69
106 VERMELTFOORT Coen85
109 TRUSOV Nikolay77
110 SLIK Ivar71
111 WARNIER Antoine71
119 PFINGSTEN Christoph69