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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 = -1.4 * weight + 129

This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
# Rider Weight (KG)
2 DE ROSSI Lucas70
3 MARUKHIN Daniil64
4 REGUIGUI Youcef69
5 TRARIEUX Julien71
6 BERHANE Natnael66
7 ÖRKEN Ahmet69
8 LAAS Martin76
11 FOMOVSKIY Aleksey82
13 SMIT Willie72
16 DOSTIYEV Ilkhan57
18 LABIB SHOTORBAN Ali60
19 TONEATTI Davide65
20 ASKARI Hossein73
22 OZKALBIM Kaan63
26 SU Haoyu64
30 BOCHAROV Dmitriy72
31 UZUN Emir67
33 KHALMURATOV Muradjan68
35 ZANINI Simone62
36 GANJKHANLOU Mohammad72
37 PARASHCHAK Yaroslav66
41 VINOKUROV Alexandre66
42 REZVANI Morteza68
47 KHAFI Oussama65
55 MULAGALEYEV Vladimir65
58 YAVUZ Ozan65
59 ÇELIK Ali73
62 ALIZADA Elgun68
66 NOEI DASHDEBI Alireza62
69 MARAL Ahmet68
73 BULUT Samet64
77 NEMATI KHIAVI Ali60
83 HÜNER Mert59
84 SAFARZADEH Saeid66
87 AGUILERA Nil62
88 ALIYARI Aidin76