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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 + 6

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# Rider Weight (KG)
1 MURAVYEV Dmitriy75
2 BOONEN Tom82
3 VAN GOOLEN Jurgen70
4 VANSUMMEREN Johan79
5 KASHECHKIN Andrey70
7 DE SCHROODER Benny61
9 NUYENS Nick68
10 KUYCKX Jan68
13 DE WEERT Kevin70
14 CAETHOVEN Steven67
19 STEEGMANS Gert82
20 BODNAR Łukasz68
23 RENDERS Sven63
28 VAN HECKE Preben69
29 DOCKX Bart64
33 GILING Bas72
34 MERTENS Pieter67
36 LE MÉVEL Christophe61
43 STEURS Geert77
53 STUBBE Tom66
55 LISABETH Kenny75
56 CHARPENTEAU Yohann68
58 EFIMKIN Vladimir67
60 MALCOURANT Kevin76
62 MOL Wouter83
68 HOVELIJNCK Kurt75
76 VANTORNOUT Klaas69
77 KNOFF Michael74