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1991   »   20th GP Capodarco (NAT)

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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 = -0.2 * weight + 16

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Casartelli
1
74 kg
Fagnini
2
70 kg
Valoti
3
64 kg
Weight (KG) →
Result →
74
64
1
3
# Rider Weight (KG)
1 CASARTELLI Fabio74
2 FAGNINI Gian Matteo70
3 VALOTI Paolo64