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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 = -0.5 * weight + 50

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# Rider Weight (KG)
2 MASSELIS Jules65
3 HANLET Henri70
4 BLAISE André72
5 LÉONARD Edouard69
6 VAN DEN BERGHE René65
7 COOLSAET Louis73
8 LETURGIE Maurice69
9 DUPONT Albert68
10 NIEDERGANG Constant70
12 DEFRAEYE Odiel67
13 BUYSSE Marcel72
14 PAULMIER Georges69
16 DHULST Vincent72
17 BOUILLET Jean74
18 LAFOURCADE François62
20 CATTEAU Aloïs84
21 DESMEDT Albert64
23 PETITJEAN Luc62
24 MAITRON Julien59
26 PARDON Maurice54
27 FLEURY Georges64
28 DOURY Octave62
31 LACHAISE Émile69