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1997

1996   »   1st Tour of Japan (2.4)

Stage 4   »   Koyama  ›  Koyama   (134.1km)
1996 | Stage 4
Koyama › Koyama (134.1km)
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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 - 27

This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lefevre
1
66 kg
Langella
5
76 kg
O'Neill
6
72 kg
Weight (KG) →
Result →
76
66
1
6
# Rider Weight (KG)
1 LEFEVRE David66
5 LANGELLA Anthony76
6 O'NEILL Nathan72