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2013   »   28th Tour de Beauce (2.2)

Stage 4 (ITT)   »   St-Benoît-Labre  ›  St-Benoît-Labre   (20km)
2013 | Stage 4 (ITT)
St-Benoît-Labre › St-Benoît-Labre (20km)
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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 = 0.4 * weight + 15

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# Rider Weight (KG)
1 ROSSKOPF Joey74
2 BROWN Nathan65
3 DAY Benjamin68
4 DEIGNAN Philip65
6 MANCEBO Francisco64
8 GAIMON Phillip67
11 MEIER Christian61
12 JONES Carter64
13 FRIEDEMANN Matthias75
15 CARLSEN Kirk68
19 LEWIS Craig65
21 ROTH Ryan70
22 ROLLIN Dominique83
24 EUSER Lucas56
26 BUTLER Chris61
28 AVERY Clinton90
32 GAZVODA Gregor72
34 BOILY David60
36 WOODS Michael62
40 PERON Andrea70
41 BEYER Chad63
42 JENKINS Max63
43 DE MAAR Marc70
46 CATAFORD Alexander70
50 CALABRIA Fabio55
51 REIJNEN Kiel63
53 BOIVIN Guillaume78
55 LOZANO David63
58 CLARKE Jonathan68
59 PICCOLI James65
60 STUYVEN Jasper78
62 WILLIAMS Christopher75
65 MCCARTNEY Jason70
66 HENTTALA Joonas73
73 DUCHESNE Antoine75
77 FRATTINI Davide63
81 MILÁN Diego67
82 PUTT Tanner75
84 MCCARTY Jonathan Patrick68
85 MEGÍAS Javier63
99 LACHANCE Jean-Michel72