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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 = 0.6 * weight - 18

This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
# Rider Weight (KG)
1 GOASMAT Jean-Marie60
2 VAN SCHENDEL Albert72
5 OCKERS Stan61
6 COSSON Victor64
14 GOUTORBE Joseph69
17 MITHOUARD Fernand74
18 FAURE Benoît58
19 DISSEAUX Albertin67
20 COGAN Pierre68
21 MALLET Auguste53
22 LOUVIOT Raymond62
24 VLAEMYNCK Lucien63
29 GALATEAU Fabien76
30 GRIMBERT Gaston68
32 LOWIE Jules68
35 THIÉTARD Louis68
36 VIETTO René67
37 BOUFFIER Gabriel73