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2018»33rd

Tour de Beauce

(2.2)
2018»Stage 5 (Final)»Saint-GeorgesSaint-Georges(122.4km)

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 = 0.2 * weight + 13

This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
#RiderWeight (KG)
1 CÔTÉ Pier-André74
2 WHITEHOUSE Daniel58
4 PICCOLI James65
7 OLIVEIRA Rui66
8 PERRY Benjamin71
9 ȚVETCOV Serghei69
13 MANCEBO Francisco64
14 TUFT Svein77
15 BURKE Jack67
17 SWIRBUL Keegan65
18 VERMEULEN Alexey66
26 GERVAIS Laurent72
27 ROBERGE Adam72
28 GARRISON Ian76
29 MANNION Gavin58
30 CHRÉTIEN Charles-Étienne65
31 NORRIS Lachlan67
32 VANDALE Danick63
33 CLARKE Jonathan68
37 GEE Derek72
38 RATHE Jacob74
41 ANDERSON Ryan66
42 ORONTE Emerson65
51 MURPHY Kyle67
52 GUZMÁN William69