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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 - 27

This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# Rider Weight (KG)
1 PINOT Thibaut63
2 ROUX Anthony73
3 GALLOPIN Tony69
4 COPPEL Jérôme64
5 CHAVANEL Sylvain73
6 ROSSETTO Stéphane68
7 LE BON Johan70
8 ROY Jérémy70
9 BOUET Maxime67
10 LATOUR Pierre66
11 SICARD Romain63
12 PAILLOT Yoann72
13 PÉRICHON Pierre-Luc69
14 CABOT Jérémy76
15 VACHON Florian65
17 DELAPLACE Anthony65
18 BERNARD Julien60
19 GÉRARD Arnaud70
20 CAVAGNA Rémi78
21 LEMARCHAND Romain67
27 PEREZ Anthony70
28 OURSELIN Paul70
29 TURGOT Sébastien73
31 ARMIRAIL Bruno72
32 MORICE Julien81
33 VAUGRENARD Benoît72
35 LEPLINGARD Antoine68
36 GUERNALEC Thibault71
45 DENIS Thomas67
52 GEORGES Sylvain69