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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 = -0.7 * weight + 100

This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# Rider Weight (KG)
3 GHYSELINCK Jan74
4 VANMARCKE Sep77
8 DHAENE Brecht73
10 VAN STAEYEN Michael62
11 ROBERT Fréderique68
12 SALOMEIN Jarl80
13 BERTRAND Jonathan65
14 KEUKELEIRE Jens69
15 DOCKX Gert64
17 JOSEPH Gregory67
19 BAESTAENS Vincent68
23 LODEWYCK Klaas70
33 VERNAECKT Thomas68
35 WAUTERS Willem66
46 ADAMS Joeri63
49 BILLE Gaëtan67
73 CLAEYS Kevin74
78 VANDOUSSELAERE Sven71
79 DRON Boris72
80 EIJSSEN Yannick60
82 DECLERCQ Tim78
85 JODTS Sven74
96 VERMOTE Julien74
119 SERRY Pieter66
143 PLANCKAERT Baptiste65
145 TERWEDUWE Kenny67