1965
1967

1966   »   22nd G.P. 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 = 2.8 * weight - 165

This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Bariviera
28
72 kg
Balmamion
29
67 kg
Zanin
54
74 kg
Weight (KG) →
Result →
74
67
28
54
# Rider Weight (KG)
28 BARIVIERA Vendramino72
29 BALMAMION Franco67
54 ZANIN Mario74