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2012   »   85th Grote Prijs 1 Mei - Ereprijs Victor de Bruyne (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 = 2.6 * weight - 120

This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
# Rider Weight (KG)
1 PREMONT Christophe69
2 PEETERS Kevin67
3 PLANCKAERT Baptiste65
8 HOLLANDERS Dries70
11 DE TROYER Tim72
12 DUPONT Timothy72
13 MAES Alexander72
14 MANNAERTS Jelle73
21 MEIJERS Daan70
24 ARIESEN Johim70
26 VEREECKEN Nicolas72
27 DŽERVUS Darijus77
30 JULIUS Jayde59
36 RAEYMAEKERS Mattias68
39 VANSUMERE Ian68
45 KERF Jerome71
50 GODERIS Jelle63
52 VERDIJCK Niels79
54 WIPPERT Wouter75
58 CLAEYS Kevin74
62 PRONK Matthé73
69 STASSEN Julien66
75 VLIEGEN Loïc70
79 VAN GINNEKEN Sjoerd72
81 BREYNE Jonathan83
87 KUYCKX Jan68
88 AMORISON Frédéric70
90 DONDERS Jelle76
91 SCHETS Steve74
93 REINDERS Elmar78.1
97 TRAKSEL Bobbie72
98 MCLAY Daniel72
102 DUFRASNE Jonathan70
104 BRUYNEEL Giel85
108 ARCHBOLD Shane79
111 STROETINGA Wim69
118 GOURGUE Benjamin62
126 STENUIT Robin77
133 DE POORTERE Ingmar70
134 SCHEP Peter80
135 DE PAUW Moreno72
136 JANSSENS Jimmy74