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2023»68th

Ronde de l'Oise

(2.2)
2023»Stage 4 (Final)»Breuil-le-SecLiancourt(158.9km)

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 = 0.6 * weight - 3

This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
#RiderWeight (KG)
1 VAN DEN BROEK Frank70
2 GOUGEARD Alexis70
3 JULIEN Matisse70
6 WEULINK Meindert62
8 KLEVGÅRD Kristian74
12 ETXEBERRIA Josu65
13 TENE Rotem72
17 ORAM James68
18 SALBY Alexander68
20 LECAMUS-LAMBERT Florentin79
22 MACLEOD Callum55
24 SCHULTZ Elliot62
26 GONZÁLEZ David68
27 DESMARETS Julien68
28 BÁRTA Tomáš79
29 MARTINSEN Toralf Rydningen62
30 TULNER Rens62
31 SCHLEGEL Michal72
33 HOPKINS Kaden67
34 BARBIER Rudy79
39 CAÑELLAS Xavier66
41 MOLENAAR Alex63
42 MUDGWAY Luke65
44 BROEX Victor75
45 GARCÍA José María67
46 BLEDDYN Oliver67
47 GEORGE Alfred78
48 ROBERTS William69
50 CHARLTON Josh82
53 TOMKINSON Tyler61
54 GOLDSTEIN Edo61
56 FAURA José Luis67
60 TIDBALL William70
62 WALSH Liam80
63 FOUCHÉ James71
66 MILLER Lachlan64
72 HEIJNEN Philip66
75 BABOR Daniel79
77 COQUERET Louis69
79 STIANSEN Sverre Schøyen78