1951
1953
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1952»10th

Paris - Nice

1952»Stage 5»Antibes Grasse(57km)

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 = -114.2 * weight + 8325

This means that on average for every extra kilogram weight a rider loses -114.2 positions in the result.
Bobet
1
74 kg
Impanis
3
69 kg
Vietto
990
67 kg
Weight (KG) →
Result →
74
67
1
990
#RiderWeight (KG)
1 BOBET Louison74
3 IMPANIS Raymond69
990 VIETTO René67