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2016»63rd

Ronde de l'Oise

(2.2)
2016»Stage 4 (Final)»Saint-MaximinLiancourt(167km)

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 = 0.1 * weight + 9

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
#RiderWeight (KG)
1 JANSSENS Jimmy74
3 VAN HOOYDONCK Nathan78
5 HAVIK Piotr73
7 HAGEN Carl Fredrik65
9 VAN DEN BERG Julius78
10 BOL Cees83
12 PARRINELLO Antonino68
13 LIENHARD Fabian73
15 TIZZA Marco58
16 HALILAJ Redi70
17 SCHULTZ Nick68
18 BONNAMOUR Franck70
20 BUDDING Martijn74
22 JULES Justin64
23 RIESEBEEK Oscar78
24 ZAMPARELLA Marco67
25 DE BONDT Dries73
26 VALLÉE Boris79
28 TIETEMA Bas74
29 KORSÆTH Truls Engen84