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2013»36th

Ronde de l'Isard

(2.2U)
2013»Stage 3»Le Mas d'AzilGoulier-Neige(124km)

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 = 1.2 * weight - 47

This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
#RiderWeight (KG)
1 PARRA Heiner Rodrigo51
4 TEUNS Dylan64
8 ITURRIA Mikel69
9 LATOUR Pierre66
11 CHEVRIER Clément56
15 OCHOA Diego Antonio61
17 GUERIN Alexis64
18 DE VOS Gertjan72
19 BIDARD François65
20 BAILLIFARD Valentin54
21 GUILLEMOIS Romain66
25 ARMIRAIL Bruno72
26 CALMEJANE Lilian70
27 DUMOURIER Florian60
31 STÖHR Ján72
34 THEUNS Edward72
35 GRELLIER Fabien65
46 CORNU Jérémy66
47 THEVENOT Guillaume69
52 HANDGRAAF Sjors66
68 BARBERO Carlos66
70 STÖHR Pavel66
71 MOSER Ignazio88
76 SCHULTZ Nick68
77 ARISTI Mikel72
80 MALDONADO Anthony57