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2000   »   56th GP Industria & Commercio di Prato (1.2)

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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 = 0.8 * weight - 32

This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
# Rider Weight (KG)
3 REBELLIN Davide63
4 FRIGO Dario66
5 BOOGERD Michael62
6 CELESTINO Mirko67
7 MONTGOMERY Sven62
9 SIMONI Gilberto59
12 HEULOT Stéphane69
13 BOUVARD Gilles70
14 LUNGHI Denis61
15 MORI Massimiliano77
16 GONZÁLEZ Aitor69
17 ZBERG Beat72
18 AXELSSON Niklas73
19 GIORDANI Leonardo68
20 SIMEONI Filippo68
21 ŠTANGELJ Gorazd70
22 FARAZIJN Peter69
23 VAN DE WOUWER Kurt66
24 BASSO Ivan70
26 DEMARBAIX Sébastien64
28 ATIENZA Daniel60
29 GOTTI Ivan65
30 DONATI Massimo75
31 SGAMBELLURI Roberto63
33 JAN Xavier62
37 BERGMANN Reto68
41 BERTOLETTI Simone75
45 LELLI Massimiliano69
47 GUIDI Fabrizio73