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1992»43rd

GP du Midi-Libre

(2.2)
1992»Prologue»Sète Sète (3.2km)

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 = 16.6 * weight - 402

This means that on average for every extra kilogram weight a rider loses 16.6 positions in the result.
#RiderWeight (KG)
5 SKIBBY Jesper70
6 BROCHARD Laurent68
9 ROBIN Jean-Cyril63
11 EKIMOV Viatcheslav69
14 MEINERT-NIELSEN Peter73
18 VIRENQUE Richard65
990 SVORADA Ján76
990 BALLERINI Franco78
990 BRAMATI Davide72
990 CAPELLE Christophe73
990 HEULOT Stéphane69
990 MONCASSIN Frédéric73
990 DE WILDE Etienne70
990 NEVENS Jan58
990 ESCARTÍN Fernando61
990 MADIOT Marc68
990 DE CLERCQ Mario66
990 TCHMIL Andrei75
990 VERSTREPEN Johan66
990 WAUTERS Marc73
990 BOURGUIGNON Thierry72
990 DUCLOS-LASSALLE Gilbert73
990 LEYSEN Bart75
990 MOREAU Francis77
990 PEETERS Wilfried76
990 PRADO Vicente69
990 CABELLO Francisco72
990 SOLLEVELD Gerrit93