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2016»13th

Tour Alsace

(2.2)
2016»Stage 4 (Final)»ColmarSélestat(149.6km)

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 + 59

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
#RiderWeight (KG)
1 DUPONT Timothy72
2 FORTIN Filippo78
3 BAESTAENS Vincent68
4 GODRIE Stan74
5 PLANCKAERT Edward71
6 KANTER Max68
7 DAVIES Scott66
8 SCHACHMANN Maximilian71
10 SPENGLER Lukas78
11 TOUZÉ Damien69
12 KRIEGER Alexander71
14 VANHOUCKE Harm65
15 SELLIER Simon68
16 WETTERHALL Alexander70
17 FRANKINY Kilian67
20 SIERRA Yecid Arturo66
21 EENKHOORN Pascal72
22 ERIKSSON Lucas64
23 VAN ZUMMEREN Stef73
24 PEARSON Daniel53
25 PACCHIARDO Davide60
26 REYES Aldemar55
28 ŤOUPALÍK Adam65
29 JURADO Christofer Robín68
30 CHRISTIAN Mark72
31 DOUBEY Fabien62
33 TRARIEUX Julien71
34 BOUWMANS Dylan64
35 DI SANTE Antonio62
37 VAN BREUSSEGEM Elias68
39 VAN DER POEL David75
40 AGUIRRE Hernán Ricardo55
41 WALSLEBEN Philipp66
43 TEYCHENNE Mathieu68
44 CALLEEUW Joeri71
45 VAN DEN BERG Julius78