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Memorial Oleg Dyachenko

(1.2)
2005»One day race»MoscowMoscow

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 + 25

This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Vorganov
3
65 kg
Trofimov
5
59 kg
Weight (KG) →
Result →
65
59
3
5
#RiderWeight (KG)
3 VORGANOV Eduard65
5 TROFIMOV Yuri59