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1986»33rd

GP Lugano

1986»One day race»LuganoLugano(132km)

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 - 4

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gianetti
1
62 kg
Hodge
2
74 kg
Weight (KG) →
Result →
74
62
1
2
#RiderWeight (KG)
1 GIANETTI Mauro62
2 HODGE Stephen74