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1992   »   21st 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 + 20

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Milesi
1
78 kg
Casartelli
2
74 kg
Weight (KG) →
Result →
78
74
1
2
# Rider Weight (KG)
1 MILESI Marco78
2 CASARTELLI Fabio74