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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 * weight + 27

This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# Rider Weight (KG)
1 IZAGIRRE Gorka66
2 ARANBURU Alex63
3 VAN AVERMAET Greg74
4 KWIATKOWSKI Michał68
5 NIBALI Vincenzo65
6 POLANC Jan62
7 BAGIOLI Nicola64
8 VERVAEKE Louis68
9 DE MARCHI Alessandro65
10 NARVÁEZ Jhonatan65
11 VERMEERSCH Gianni68
13 PELLAUD Simon70
14 CICCONE Giulio58
15 COVI Alessandro66
16 SMITH Dion67
17 BAKELANTS Jan67
18 MOSCON Gianni71
19 RIESEBEEK Oscar78
20 ROTA Lorenzo62
21 JORGENSON Matteo69
22 BRAMBILLA Gianluca57
23 TIZZA Marco58
24 LEYSEN Senne78
25 GAVAZZI Francesco65
26 FORTUNATO Lorenzo57
27 DE TIER Floris60
28 COLLEONI Kevin66
29 BENEDETTI Gabriele63
30 STANNARD Robert74
30 VELASCO Simone59
31 BOUHANNI Nacer65
32 SCHÄR Michael78
33 HERMANS Quinten62
34 CANOLA Marco66
35 RIVI Samuele72
36 DI SANTE Antonio62
37 BAIS Mattia66
38 MARENGO Umberto69
39 PUCCIO Salvatore68
40 ALBANESE Vincenzo70
41 RIABUSHENKO Alexandr61
42 MARCATO Marco67
43 BOARO Manuele64
44 JACOBS Johan78
45 LUTSENKO Alexey74
46 PICHON Laurent69
47 VISCONTI Giovanni63
48 TESFATSION Natnael60
49 MEYER Cameron70
50 MARCELLUSI Martin62
51 SAVINI Daniel58