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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 = 0.4 * weight + 25

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# Rider Weight (KG)
1 LANG Pirmin73
4 SCHNAIDT Fabian70
5 HOVELIJNCK Kurt75
6 SCHULTING Peter70
8 HABEAUX Grégory68
11 VAN POPPEL Boy78
13 VERBIST Evert73
16 BARBÉ Koen75
19 PREMONT Christophe69
21 DEVILLERS Gilles62
22 VAN MELSEN Kévin77
24 GMELICH MEIJLING Jarno77
25 KUSZTOR Péter61
27 DE NEEF Steven75
29 DE POORTERE Ingmar70
32 BAESTAENS Vincent68
35 KRUOPIS Aidis80
36 DUPONT Timothy72
38 STENUIT Robin77
39 VEREECKEN Nicolas72
41 HAVIK Yoeri66
42 PEETERS Kevin67
43 VAN DER POEL David75
50 VAN GENECHTEN Jonas67
52 ARIESEN Johim70
53 VAN AERT Jan61
56 VERNAECKT Thomas68
73 LJUNGBLAD Jonas70
74 KUYCKX Jan68
76 CRETSKENS Wilfried75
80 CAPPELLE Dieter76
84 VENTER Jaco70
85 DEKKERS Hans72
90 GROEN Ike70.5
92 BALDO Nicolas73
93 VANBILSEN Kenneth73
94 BREYNE Jonathan83
99 OELERICH Jan70
100 VERRAES Benjamin73
101 LAMMERTINK Maurits61
103 SCHMITZ Bram77
109 PRONK Matthé73
111 AL Thijs72
115 DUIJN Huub73