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2012»26th

Tour of the Gila

(2.2)
2012»Stage 2»Fort BayardFort Bayard(128.7km)

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 + 55

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
#RiderWeight (KG)
2 MANCEBO Francisco64
3 BEYER Chad63
5 RANGEL Hector Hugo63
6 DE MAAR Marc70
8 RODRIGUEZ Fred68
9 PREIDLER Georg68
10 SUTHERLAND Rory75
12 PUTT Tanner75
15 EL FARES Julien62
16 MANNION Gavin58
17 MCCABE Travis72
18 GAIMON Phillip67
20 DAY Benjamin68
25 CRADDOCK Lawson69
27 WURF Cameron71
29 BUTLER Chris61
32 ÁVILA Edwin61
34 DOMBROWSKI Joe68
37 BERTOGLIATI Rubens73
41 ARANGO Juan Esteban62
42 ZIRBEL Tom91
43 LEWIS Craig65
45 HUFFMAN Evan71
48 JENKINS Max63
49 CLARKE Jonathan68
62 LAENGEN Vegard Stake79
63 LEMUS Luis61
65 ORAM James68
66 XU Gang69
67 HAGA Chad71.5
69 BORRAJO Alejandro Alberto76
79 BOSWELL Ian70
84 BROWN Nathan65
90 PÉREZ Marlon Alirio68
95 JONES Chris64
97 ȚVETCOV Serghei69
104 JONES Carter64
106 MEGÍAS Javier63
107 LOUDER Jeff73
115 FRATTINI Davide63
117 STONE Mike64
122 MCCARTNEY Jason70