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2019   »   24th Le Tour de Langkawi (2.HC)

Stage 1   »   Kuala Lumpur  ›  Tampin   (176.9km)
2019 | Stage 1
Kuala Lumpur › Tampin (176.9km)
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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 = -0.5 * weight + 43

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# Rider Weight (KG)
1 CULEY Marcus69
2 DAVIDS Brendon72
3 MCCABE Travis72
6 FREIBERG Michael82
7 SIMION Paolo79
9 CHERKASOV Nikolay68
13 JULIUS Jayde59
15 BISOLTI Alessandro58
16 DONOHOE Alistair62
17 CHRÉTIEN Charles-Étienne65