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2016»57th

Tour du Loir et Cher E Provost

(2.2)
2016»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 = 0.4 * weight - 2

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
#RiderWeight (KG)
2 DOWNING Russell64
3 PLANCKAERT Edward71
5 REINDERS Elmar78.1
7 AAEN JØRGENSEN Jonas63
10 SCHELLING Patrick61
11 OTTEMA Rick77
13 VEREECKEN Nicolas72
14 LAWLESS Chris72
16 NIKITIN Matvey61
18 KAŇKOVSKÝ Alois83
22 KERS Koos Jeroen71
24 KORETZKY Clément66
27 GAREL Adrien77
31 OCKELOEN Jasper66
32 REINHARDT Theo72
33 VINTHER Troels Rønning68
34 SCHULTING Peter70
35 CASTRIQUE Jonas81
37 DUNNE Conor88
39 SULZBERGER Wesley65
42 ZURITA Francesc67
43 HOLLANDERS Dries70
44 HONORÉ Mikkel Frølich68
48 DUQUENNOY Jimmy75
49 LOVASSY Krisztián71
54 ASGREEN Kasper75