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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 = 0.9 * weight - 14

This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
# Rider Weight (KG)
2 WYSS Danilo65
3 VERMELTFOORT Coen85
10 LODEWYCK Klaas70
11 VANENDERT Dennis64
12 NOLF Frederiek68
15 VANDEWALLE Kristof74
16 KEIZER Martijn72
18 JOSEPH Gregory67
20 HOLLENSTEIN Reto80
21 PARDINI Olivier68
22 KRUOPIS Aidis80
24 ROSSETTO Stéphane68
26 VAN STAEYEN Michael62
32 POLAZZI Fabio63
33 VANMARCKE Sep77
34 ROELS Dominik75
35 VAN VOOREN Steven75
36 VAN WINDEN Dennis70
41 SCHULTING Peter70
45 COLONNA Paolo65
47 BAUGNIES Jérôme69
49 DEVILLERS Gilles62
50 DE GENDT Thomas73
54 SENAC Jean-Charles63
55 DE GREEF Francis77
56 KREDER Michel67
60 MARTIN Tony75
62 MOLLEMA Bauke64
65 SELANDER Bjorn72
66 VAN MELSEN Kévin77
68 PAGANI Angelo68
69 RUIJGH Rob64
72 VANDOUSSELAERE Sven71
74 NAVARDAUSKAS Ramūnas79
76 KITTEL Marcel82
78 GHYSELINCK Jan74
84 MOBERG JØRGENSEN Christian73
88 BÉRARD Julien70
89 POELS Wout66
90 BAGDONAS Gediminas78
91 TERWEDUWE Kenny67
92 DE VREESE Laurens78
100 VANOVERSCHELDE Kobe80
119 CLAEYS Dimitri77