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2016   »   Grand Prix Cycliste de Saguenay (2.2)

Stage 2   »   Kénogami  ›  Kénogami   (156.65km)
2016 | Stage 2
Kénogami › Kénogami (156.65km)
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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 = -0.8 * weight + 94

This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
# Rider Weight (KG)
3 ROTH Ryan70
5 BOIVIN Guillaume78
6 RÄIM Mihkel69
7 RATHE Jacob74
8 PERRY Benjamin71
10 TUREK Daniel72
11 BOILY David60
14 PICCOLI James65
15 DAL-CIN Matteo77
16 JAMIESON Adam75
23 CRAVEN Dan75
25 VAUBOURZEIX Thomas70
28 DE MESMAEKER Kevin68
30 NUÑO Israel58
33 HORNER Chris70
35 BEYER Chad63
38 GERVAIS Laurent72
40 CLANCY Stephen63
41 CATAFORD Alexander70
42 VERSCHOOR Martijn74.5
46 MACKINNON Sean75
48 MENGOULAS Alex66
49 JENKINS Max63
51 BENHAMOUDA Mehdi64
53 HERNANDEZ Michael74
63 CÔTÉ Pier-André74
72 YECHEZKEL Aviv70
74 LEMUS Luis61
77 WHITE Curtis70
78 DE KEIJZER Gerd72.6
87 CONLY Lukas63
93 GEE Derek72