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1992   »   48th GP Industria & Commercio di Prato (1.3)

One day race   »   Prato  ›  Prato   (204km)
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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 = -2.3 * weight + 178

This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
# Rider Weight (KG)
3 JASKUŁA Zenon76
9 ELLI Alberto71
14 BRAMATI Davide72
21 LELLI Massimiliano69