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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 = 0.1 * weight + 9

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
# Rider Weight (KG)
1 CHAVANEL Sylvain73
2 KERN Christophe72
4 VOGONDY Nicolas62
5 MONIER Damien75
7 COPPEL Jérôme64
8 MOREAU Christophe71
9 CHAMPION Dimitri70
10 BRARD Florent74
11 FRITSCH Nicolas65
13 LEMOINE Cyril73
14 CASAR Sandy63
15 EDALEINE Christophe62
16 ROUX Anthony73
18 MANGEL Laurent83
20 GALLOPIN Tony69
21 JEANDESBOZ Fabrice69
22 VAUGRENARD Benoît72
23 FINOT Frédéric65
25 ROSSETTO Stéphane68
28 BOUCHER David78
30 SANCHEZ Fabien75
31 LEMARCHAND Romain67
32 BALDO Nicolas73
34 BESSY Cyril69
35 POUX Paul70
36 BONNAFOND Guillaume68
38 GEORGES Sylvain69