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2004»

Raiffeisen Grand Prix

(1.5)
2004»One day race(175km)

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 = 1.7 * weight - 106

This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Pfannberger
2
63 kg
Pichler
14
70 kg
Weight (KG) →
Result →
70
63
2
14
#RiderWeight (KG)
2 PFANNBERGER Christian63
14 PICHLER Michael70