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2005   »   33rd Grand Prix of Sochi (2.2)

Stage 1 (ITT)   »   Sochi  ›  Sochi   (10km)
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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 = 0.1 * weight - 3

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Firsanov
2
58 kg
Grabovskyy
3
69 kg
Weight (KG) →
Result →
69
58
2
3
# Rider Weight (KG)
2 FIRSANOV Sergey58
3 GRABOVSKYY Dmytro69