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2017»58th

Tour du Loir et Cher

(2.2)
2017»Stage 5 (Final)»BloisBlois(97.5km)

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 + 30

This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
#RiderWeight (KG)
1 OTTEMA Rick77
4 BRUSSELMAN Twan76
7 VINTHER Troels Rønning68
8 DE GREEF Robbert65
9 HUPPERTZ Joshua66
11 VANGSTAD Andreas70
13 SCOTT Jacob68
14 KASPERKIEWICZ Przemysław71
16 MONIER Damien75