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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 + 37

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# Rider Weight (KG)
1 ROGERS Michael74
2 GUTIÉRREZ José Iván71
3 CANCELLARA Fabian80
4 PLAZA Rubén77
5 VINOKOUROV Alexandre68
6 KASHECHKIN Andrey70
7 WIGGINS Bradley76
8 LANG Sebastian77
9 MÉDICI Matías70
10 PEÑA Victor Hugo65
11 JULICH Bobby68
12 SOSENKA Ondřej82
13 DAY Benjamin68
14 BRUSEGHIN Marzio70
15 RICH Michael82
16 BELOHVOŠČIKS Raivis70
17 PINOTTI Marco67
18 KIRYIENKA Vasil69
19 BRAJKOVIČ Janez60
20 HRUŠKA Jan62
21 VANDBORG Brian Bach75
22 HESJEDAL Ryder73
23 MENCHOV Denis65
24 ROESEMS Bert81
25 GAZVODA Gregor72
27 LARSSON Gustav Erik77
28 EKIMOV Viatcheslav69
29 BEPPU Fumiyuki69
30 CHAVANEL Sylvain73
31 HOSTE Leif80
32 POPOVYCH Yaroslav64
33 MAZUR Peter73
34 WOHLBERG Eric63
35 DEKKER Thomas69
36 GEORGE David61
37 POSTHUMA Joost76
38 O'LOUGHLIN David68
39 BLAUDZUN Michael66
40 GRIVKO Andrey70
41 BODNAR Łukasz68
43 BALČIŪNAS Linas90
44 MOREAU Christophe71
46 LÖFKVIST Thomas70