1983
1985

1984   »   40th GP Industria & Commercio di Prato

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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 = 3.2 * weight - 213

This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
Gavazzi
1
67 kg
Baronchelli
17
72 kg
Weight (KG) →
Result →
72
67
1
17
# Rider Weight (KG)
1 GAVAZZI Pierino67
17 BARONCHELLI Gianbattista72