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2019»34th

Tour de Beauce

(2.2)
2019»Stage 1»Saint-Georges Saint-Georges (177km)

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 = 0.3 * weight + 25

This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
#RiderWeight (KG)
5 PRADO Ignacio de Jesús65
6 JAMIESON Adam75
8 CÔTÉ Pier-André74
10 MILÁN Diego67
12 ZIMMER Matt68
13 LEPLINGARD Antoine68
14 DE KEIJZER Gerd72.6
15 ALBRECHT Jasper62
17 PICCOLI James65
23 MURPHY Kyle67
28 FLAKSIS Andžs79
31 GONZÁLEZ Abner60
32 ANDREEV Yordan63
33 HUFFMAN Evan71
36 CHRÉTIEN Charles-Étienne65
38 ROTH Ryan70
43 ROBERGE Adam72
44 ÁLVAREZ Miguel Luis60
46 MILLER Barry54
48 SWIRBUL Keegan65
50 ȚVETCOV Serghei69
51 CLARKE Jonathan68
53 PAVLIČ Marko65
57 MCKAY James70
63 WHITE Curtis70
67 REYES Elvys Noel56
68 BEADLE Hamish64
70 GERVAIS Laurent72
72 GEE Derek72
73 DAL-CIN Matteo77
75 SENS Connor71
80 FOLEY Michael72
89 VAN ZYL Johann72
98 DANIEL Gregory64
101 MCQUERRY Justin78
102 CONLY Lukas63