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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 = -0.2 * weight + 39

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# Rider Weight (KG)
1 BOTERO Santiago75
2 RICH Michael82
3 GONZÁLEZ DE GALDEANO Igor73
4 BODROGI László79
5 PESCHEL Uwe72
6 MILLAR David79
7 GONZÁLEZ Aitor69
8 ROGERS Michael74
9 CANCELLARA Fabian80
10 BELOHVOŠČIKS Raivis70
12 WAUTERS Marc73
13 ROESEMS Bert81
14 POZZATO Filippo73
15 EKIMOV Viatcheslav69
16 MOREAU Christophe71
17 PETROV Evgeni70
18 QUINZIATO Manuel74
19 WOHLBERG Eric63
20 GREEN Roland75
21 SABALIAUSKAS Marius76
22 KJÆRGAARD Steffen74
23 NÜTTLI Jean70
24 WACKER Eugen65
25 KNAVEN Servais68
26 DANGERFIELD Stuart65
27 HUNTER Robert72
30 TOTSCHNIG Georg62
31 AZEVEDO José Bento59
32 KRIVTSOV Yuriy72
34 PEÑA Victor Hugo65
35 O'NEILL Nathan72
36 SOSENKA Ondřej82
37 HORNER Chris70
38 BROŻYNA Tomasz65
40 HUSHOVD Thor83
41 JOACHIM Benoît82
42 KOHUT Sławomir65
43 BONCIUCOV Igor66
46 MIZUROV Andrey68
47 LJUNGQVIST Marcus73
48 KANNEMEYER Tiaan67
49 BÄCKSTEDT Magnus94
50 DURAND Jacky76