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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 + 51

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# Rider Weight (KG)
1 WIGGINS Bradley76
2 MARTIN Tony75
3 FROOME Chris68
4 PHINNEY Taylor82
5 PINOTTI Marco67
6 ROGERS Michael74
7 CANCELLARA Fabian80
8 GRABSCH Bert78
9 CASTROVIEJO Jonathan62
10 BRAJKOVIČ Janez60
11 WESTRA Lieuwe74
12 KIRYIENKA Vasil69
13 BOASSON HAGEN Edvald75
14 BAK Lars Ytting76
15 FUGLSANG Jakob67
16 LARSSON Gustav Erik77
17 GILBERT Philippe75
18 OLIVEIRA Nelson67
19 BAUER Jack74
20 MENCHOV Denis65
21 NAVARDAUSKAS Ramūnas79
22 BOOM Lars75
23 VINOKOUROV Alexandre68
24 BEPPU Fumiyuki69
25 BODNAR Maciej77
26 NAZARET Magno65
27 MCCANN David73
28 HESJEDAL Ryder73
29 CHAVANEL Sylvain73
30 ALBASINI Michael65
31 BAZAYEV Assan62
32 SÁNCHEZ Luis León73
33 GIL MARTINEZ Tomas Aurelio60
34 LAHSAINI Mouhssine77
35 DUARTE Fabio55
36 HAGHI Alireza78
37 AKDILEK Ahmet68