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2016»57th

Tour du Loir et Cher E Provost

(2.2)
2016»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 - 6

This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
#RiderWeight (KG)
1 PLANCKAERT Edward71
8 LAWLESS Chris72
10 DUQUENNOY Jimmy75
13 GAREL Adrien77
14 HONORÉ Mikkel Frølich68
15 ASGREEN Kasper75
16 TRÆEN Torstein63
17 KRUL Stef68
22 BRUSSELMAN Twan76
26 VAN BAKEL Robbie62
28 CASTRIQUE Jonas81
30 FOLSACH Casper81