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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 = 0.5 * weight - 20

This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# Rider Weight (KG)
1 CHAVANEL Sylvain73
2 ROUS Didier70
3 KERN Christophe72
4 MOREAU Christophe71
5 BRARD Florent74
6 EDALEINE Christophe62
7 VOGONDY Nicolas62
8 VAUGRENARD Benoît72
9 PINEAU Jérôme65
10 CHAMPION Dimitri70
12 BONNET William80
13 RIBLON Christophe65
14 ROUX Anthony73
17 FINOT Frédéric65
18 ROY Jérémy70
19 DI GRÉGORIO Rémy67
22 LELAY David67
23 MONIER Damien75
25 MANGEL Laurent83
26 ANTOMARCHI Julien70
28 VILLA Romain71
30 JEANDESBOZ Fabrice69
31 BALDO Nicolas73
32 AGNOLUTTO Christophe69
33 PATANCHON Fabien69
35 ENGOULVENT Jimmy82