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2006»67th

Paris-Camembert

(1.1)
2006»One day race»MagnanvilleVimoutiers(200km)

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 * weight + 29

This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
#RiderWeight (KG)
1 GESLIN Anthony68
2 COUTOULY Cédric72
6 DUQUE Leonardo Fabio59
7 ALDAPE Moises Antonio62
8 TURPIN Ludovic57
9 LEFÈVRE Laurent67
10 ROCHE Nicolas70
11 RENSHAW Mark74
12 BONSERGENT Stéphane66
13 COOKE Baden75
16 BERNAUDEAU Giovanni62
18 MANDRI René66
20 CHMIELEWSKI Piotr72
22 DA CRUZ Carlos74
23 PICHOT Alexandre72
25 PLOUHINEC Samuel63
26 TALABARDON Yannick67
27 DION Renaud65
28 AGNOLUTTO Christophe69
30 EDALEINE Christophe62
32 MÉDEREL Maxime59
33 DI GRÉGORIO Rémy67
34 MINARD Sébastien65
35 MATVEYEV Sergiy78
38 VEIKKANEN Jussi66
39 VALENTIN Tristan69
40 WILSON Matthew72
42 HALGAND Patrice67
43 MOINARD Amaël69
44 BESSY Frédéric65
45 GABRIEL Frédéric60
46 LJUNGBLAD Jonas70
49 LE BOULANGER Yoann70
50 PRIAMO Matteo72
51 DURET Sébastien62
55 DUPONT Hubert57
59 FURLAN Angelo72