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2013»86th

Grote Prijs 1 Mei - Ereprijs Victor de Bruyne

(1.2)
2013»One day race»HobokenHoboken(170km)

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 = 0.4 * weight + 25

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
#RiderWeight (KG)
1 VERMELTFOORT Coen85
3 HAVIK Yoeri66
6 WIPPERT Wouter75
7 MANNAERTS Jelle73
9 STENUIT Robin77
10 VAN ROOY Kenneth70
15 DE CLERCQ Angelo67
19 MAES Alexander72
20 COENEN Dennis69
24 VANSUMERE Ian68
26 VAN COUTER Stein65
30 PEELAERS Jeff75
32 WILLEMS Kenny72
34 VAN GOETHEM Brian77
38 SCHOONBROODT Bob78
40 DE WILDE Sjef74
47 JODTS Sven74
51 BLOMME Lorenzo68
52 EYSKENS Jeroen68
58 DUIJN Huub73
64 FLAHAUT Denis66
75 COENEN Johan67
76 DIELEMAN Michiel78
84 VAN DEN BERG Maarten77
96 HOLLANDERS Dries70
99 RIESEBEEK Oscar78
102 BEUKEBOOM Dion88
104 COOLS Alexander65
113 OTTEMA Rick77
119 DONDERS Jelle76
121 SEGERS Joren78
122 POLAZZI Fabio63
123 DEMOITIÉ Antoine69