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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 + 46

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# Rider Weight (KG)
1 BOIVIN Guillaume78
2 STUYVEN Jasper78
3 ROSSKOPF Joey74
4 DEIGNAN Philip65
5 MANCEBO Francisco64
8 BROWN Nathan65
9 DAY Benjamin68
11 REIJNEN Kiel63
12 FRIEDEMANN Matthias75
13 PERON Andrea70
15 PUTT Tanner75
16 JONES Carter64
17 MEIER Christian61
18 MILÁN Diego67
19 BUTLER Chris61
21 GAIMON Phillip67
24 WOODS Michael62
26 EUSER Lucas56
28 CATAFORD Alexander70
33 DUCHESNE Antoine75
36 MCCARTY Jonathan Patrick68
37 CARLSEN Kirk68
38 LACHANCE Jean-Michel72
39 MEGÍAS Javier63
42 DE MAAR Marc70