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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 - 5

This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# Rider Weight (KG)
1 KIRCHEN Kim68
3 ROGERS Michael74
4 MUGERLI Matej68
5 REBELLIN Davide63
6 PIETROPOLLI Daniele61
8 HALGAND Patrice67
9 LAGUTIN Sergey68
10 NOÈ Andrea65
11 MONCOUTIÉ David69
12 SINKEWITZ Patrik63
13 FRIGO Dario66
14 FERNÁNDEZ Bingen61
15 TIRALONGO Paolo63
16 BALLAN Alessandro73
17 SELLA Emanuele54
18 GUSTOV Volodymyr64
19 ASTARLOZA Mikel72
21 GOUBERT Stéphane62
22 DUPONT Hubert57
23 POZZOVIVO Domenico53
26 TURPIN Ludovic57
27 PINEAU Jérôme65
28 MIHOLJEVIĆ Vladimir68
29 VOGONDY Nicolas62
30 ATIENZA Daniel60
32 CHAURREAU Íñigo60
33 LEFÈVRE Laurent67
34 FÉDRIGO Pierrick66
35 JOLY Sébastien74
37 NIBALI Vincenzo65
38 PINOTTI Marco67
39 MAINGUENAUD Frédéric68
40 CODOL Massimo67
41 PETITO Roberto78
43 FAILLI Francesco65
44 LARSSON Gustav Erik77
45 FACCI Mauro68
46 VAN GOOLEN Jurgen70
47 VILA Francisco Javier67
50 HABEAUX Grégory68
52 GERRANS Simon62
53 ERMETI Giairo60
54 PORTAL Nicolas70
57 AGGIANO Elio63
59 ZBERG Markus69
60 BRAMATI Davide72
61 MASCIARELLI Andrea61
64 PETROV Evgeni70