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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 = -0.3 * weight + 38

This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# Rider Weight (KG)
1 EVENEPOEL Remco63
2 GANNA Filippo83
3 VAN AERT Wout78
4 TARLING Joshua78
5 MCNULTY Brandon69
6 BISSEGGER Stefan78
7 OLIVEIRA Nelson67
8 KÜNG Stefan83
9 SCHACHMANN Maximilian71
10 BJERG Mikkel78
11 VACEK Mathias75
12 MULLEN Ryan77
13 FOSS Tobias74
14 SKJELMOSE Mattias65
15 VAUQUELIN Kévin69
16 SHEFFIELD Magnus73
17 HOOLE Daan81
18 BETTIOL Alberto69
19 GROßSCHARTNER Felix64
20 GEE Derek72
21 FEDOROV Yevgeniy80
22 VALTER Attila65
23 KWIATKOWSKI Michał68
24 PITHIE Laurence74
25 COSTA Rui69
26 LAZKANO Oier74
27 TRATNIK Jan67
28 SAINBAYAR Jambaljamts60
29 GIRMAY Biniam70
30 ANSARI Amir Arsalan71
31 SYRITSA Gleb85