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2016»37th

Tour de Hongrie

(2.2)
2016»Stage 5 (Final)»GyongyosBudapest(99km)

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 = 3.8 * weight - 255

This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
#RiderWeight (KG)
1 RUČIGAJ Žiga68
2 TAGLIANI Filippo70
5 FILUTÁS Viktor68
18 KOVÁCS Dávid71