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2015»56th

Tour du Loir et Cher E Provost

(2.2)
2015»Stage 5 (Final)»BloisBlois(97.5km)

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 = -0.2 * weight + 44

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
#RiderWeight (KG)
1 CARDIS Romain72
2 BAKKER Dennis74.5
3 GALTA Fredrik Strand78
6 FRISON Frederik84
8 KRAGH ANDERSEN Asbjørn72
10 RÄIM Mihkel69
11 CALMEJANE Lilian70
12 GOOLAERTS Michael80
13 DAVIES Scott66
14 MAGNUSSON Kim71
16 REUTTER Sven72
17 SHAW James63
19 YSSAAD Yannis69
20 JANSSEN Adriaan76
23 KRUL Stef68
24 SCHREURS Hamish69
27 GUERIN Camille63
33 POUILLY Félix66
44 LEVASSEUR Jordan74
48 HOELGAARD Markus74
50 MAITRE Florian71
53 THOMAS Benjamin68
54 KRIGBAUM Mathias79
56 VANGSTAD Andreas70
59 WILLWOHL Willi67
61 LAAS Martin76
64 SCHOMBER Nils75