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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 = -0.1 * weight + 36

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# Rider Weight (KG)
1 SWEECK Laurens71
2 DEL GROSSO Tibor70
3 VAN POUCKE Aaron68
5 REYNDERS Jens76
6 HEREMANS Joppe68
7 LAURYSSEN Yorben67
8 MOONEN Zeno66
9 DEWEIRDT Siebe69
11 SCHERPENBERGH Tristan67
12 DE CLERCK Niels64
14 BAERS Arne62
16 DE MOYER Kenay69
20 DE WILDE Gilles75
24 LANHOVE Milan69
25 DEMAN Brem76
26 DOCKX Gilles61
27 SAVER Kasper76
28 JACQUES Lucas67
29 HANNES Victor62
31 TASSET Marvin63
32 LAGAB Azzedine63
34 MACKIE Ewan66
35 BELMANS Lennert72
36 VERBEECK Dag71
38 ROESEMS Siebe70
39 VAN DEN EIJNDEN Guus63
41 ISERBYT Eli55
42 KAMP Ryan70
43 REX Tim70
44 GRAFF William68
45 VIDTS Obie61
48 COLMAN Alex73
49 CLAEYS Arno72
50 VANHOOF Ward75
51 VANTHOURENHOUT Michael62
52 VANOVERBERGHE Mathias74
53 VANDENSTORME Dylan64
54 DELLE VEDOVE Alessio73