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2013»9th

The Larry H.Miller Tour of Utah

(2.1)
2013»Stage 6 (Final)»Park CityPark City(125.8km)

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 = 0.4 * weight - 10

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
#RiderWeight (KG)
1 MATTHEWS Michael72
2 VAN AVERMAET Greg74
3 REIJNEN Kiel63
4 STUYVEN Jasper78
5 ACEVEDO Janier63
6 MANCEBO Francisco64
7 EUSER Lucas56
8 MORTON Lachlan62
9 BAZZANA Alessandro63.5
10 JONES Chris64
11 DANIELSON Tom58.5
14 HORNER Chris70
15 BUSCHE Matthew69
16 DEIGNAN Philip65
17 BENNETT George58
18 KOCH Michel69
21 SCHÄR Michael78
24 MACHADO Tiago63
26 NOVÁK Jakub71
27 ȚVETCOV Serghei69
28 LEWIS Craig65
29 KING Edward78
30 VOIGT Jens76
31 BEYER Chad63
32 JONES Carter64
33 RODRIGUEZ Fred68
34 LOUDER Jeff73
35 ROSSKOPF Joey74
36 JENKINS Max63
37 MCCARTNEY Jason70