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2012»26th

Tour of the Gila

(2.2)
2012»Stage 1»Silver CityMogollon(153.1km)

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 = -0.7 * weight + 101

This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
#RiderWeight (KG)
1 SUTHERLAND Rory75
2 DOMBROWSKI Joe68
3 BEYER Chad63
6 DE MAAR Marc70
7 MANCEBO Francisco64
8 LEMUS Luis61
11 GAIMON Phillip67
12 BUTLER Chris61
13 BERTOGLIATI Rubens73
15 JENKINS Max63
21 HUFFMAN Evan71
26 ZIRBEL Tom91
27 RANGEL Hector Hugo63
30 LEWIS Craig65
34 EL FARES Julien62
35 RODRIGUEZ Fred68
39 LOUDER Jeff73
40 MCCABE Travis72
41 DAY Benjamin68
42 CLARKE Jonathan68
45 ARANGO Juan Esteban62
46 WURF Cameron71
52 PREIDLER Georg68
55 CRADDOCK Lawson69
56 BROWN Nathan65
57 MCCARTNEY Jason70
58 PUTT Tanner75
65 LAENGEN Vegard Stake79
74 MEGÍAS Javier63
81 HAGA Chad71.5
89 ÁVILA Edwin61
91 BOSWELL Ian70
92 ORAM James68
93 ȚVETCOV Serghei69
96 JONES Carter64
106 PÉREZ Marlon Alirio68
111 XU Gang69
112 MANNION Gavin58
121 BORRAJO Alejandro Alberto76
125 JONES Chris64
127 FRATTINI Davide63
130 STONE Mike64