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2013»28th

Tour de Beauce

(2.2)
2013»Stage 3»St-GeorgesMont-Mégantic(164km)

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 = 0.9 * weight - 25

This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
#RiderWeight (KG)
1 MANCEBO Francisco64
3 JONES Carter64
4 BUTLER Chris61
5 BROWN Nathan65
6 DAY Benjamin68
7 DEIGNAN Philip65
8 WOODS Michael62
9 EUSER Lucas56
10 MEIER Christian61
14 CARLSEN Kirk68
15 GAIMON Phillip67
16 PUTT Tanner75
19 BEYER Chad63
20 ROSSKOPF Joey74
21 JENKINS Max63
22 DUCHESNE Antoine75
25 LOZANO David63
30 MILÁN Diego67
31 ROLLIN Dominique83
33 DE MAAR Marc70
37 CALABRIA Fabio55
39 AVERY Clinton90
42 LACHANCE Jean-Michel72
43 BOILY David60
44 FRIEDEMANN Matthias75
46 BOIVIN Guillaume78
47 STUYVEN Jasper78
49 PERON Andrea70
50 REIJNEN Kiel63
59 LEWIS Craig65
61 MCCARTNEY Jason70
64 MCCARTY Jonathan Patrick68
66 ROTH Ryan70
68 FRATTINI Davide63
69 MEGÍAS Javier63
71 CLARKE Jonathan68
72 GAZVODA Gregor72
76 CATAFORD Alexander70
85 PICCOLI James65
87 WILLIAMS Christopher75
88 HENTTALA Joonas73