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1992   »   66th Piccolo Giro di Lombardia (NAT)

One day race
1992 | One day race
(177.5km)
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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 = 0.4 * weight - 17

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# Rider Weight (KG)
1 PERON Andrea70
2 SIMONI Gilberto59
4 GUERINI Giuseppe65
6 NOÈ Andrea65
9 FRATTINI Francesco60
10 NARDELLO Daniele74
11 CASARTELLI Fabio74
13 FAGNINI Gian Matteo70