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2012   »   27th Tour de Beauce (2.2)

Stage 4 (ITT)   »   St-Benoît-Labre  ›  St-Benoît-Labre   (20km)
2012 | 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 = 0.7 * weight - 14

This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# Rider Weight (KG)
1 SUTHERLAND Rory75
2 HOULE Hugo72
3 MEIER Christian61
4 TUFT Svein77
6 DE MAAR Marc70
7 MANCEBO Francisco64
8 ROTH Ryan70
11 DAY Benjamin68
12 LAENGEN Vegard Stake79
13 LEWIS Craig65
16 FRIEDEMANN Matthias75
19 WOODS Michael62
20 BELL Zach75
21 ȚVETCOV Serghei69
23 BEYER Chad63
24 DUCHESNE Antoine75
29 PARISIEN François64
31 BUTLER Chris61
33 HOLMES Matthew67
35 OLIPHANT Evan66
37 CLARKE Will81
38 CALABRIA Fabio55
40 JENKINS Max63
43 BOILLAT Joris68
51 FRATTINI Davide63
54 AVERY Clinton90
57 HANSON Ken74
59 SEREBRYAKOV Alexander70
61 MCCARTNEY Jason70
62 GILBERT Martin73
64 JONES Chris64
66 FORTIN Filippo78
68 REUS Kai70
75 LAMBERT-LEMAY Simon81
88 ELDRIDGE Joe84
91 PICCOLI James65