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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 = 3.1 * weight - 166

This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
# Rider Weight (KG)
1 BARBÉ Koen75
4 RENDERS Sven63
5 ISTA Kevyn70
10 PAUWELS Serge65
14 CAETHOVEN Steven67
21 MONFORT Maxime66
24 WEYLANDT Wouter72
26 STUBBE Tom66
28 GROSDENT William74
31 KAISEN Olivier82
33 HABEAUX Grégory68
35 VERBIST Evert73
36 DE WILDE Sjef74
37 ABAKOUMOV Igor68
38 DEHAES Kenny73
50 HOVELIJNCK Kurt75
56 CAPPELLE Dieter76
57 DE BACKER Bert73
58 GILBERT Jérôme60
83 VANDENBERGH Stijn86
109 SCHMETS David85
114 STEURS Geert77
116 VANHEULE Bart76
128 DE FAUW Dimitri77
130 INGELS Nick70
135 NEIRYNCK Kevin71
136 LISABETH Kenny75