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2016»7th

Tour of Taihu Lake

(2.1)
2016»Stage 4»WujiangWujiang(117.4km)

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 = -0.9 * weight + 120

This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
#RiderWeight (KG)
1 MARINI Nicolas72
2 MARECZKO Jakub67
3 DUQUE Leonardo Fabio59
6 VERSCHOOR Martijn74.5
7 GROSU Eduard-Michael68
11 BOGDANOVIČS Māris68
12 ANDRIATO Rafael67
14 PAPOK Siarhei76
15 LIEPIŅŠ Emīls67
16 METLUSHENKO Yuri82
18 GODOY Yonder64
19 DE KEIJZER Gerd72.6
23 VASILYEV Maksym70
31 WANG Meiyin70
34 CULLY Ján Andrej73
40 SCHULTING Peter70
41 GRAZIATO Massimo73
47 FONZI Giuseppe63
50 HILL Benjamin67
56 MACHADO SILVA Gabriel63
60 VAUBOURZEIX Thomas70
63 CORELLA Rene75
68 COLLI Daniele73
70 VAN AKEN Matthias56
72 ARIYAN Behnam70
75 KASYANOV Oleksiy62
76 IVASHKIN Anton73
80 CHERHAL Corentin60
81 CHOI Hiu Fung53
82 WILLIAMS Christopher75
86 HUANG Wen Chung55
89 PRUUS Peeter71
90 ISHIBASHI Manabu68
92 AFFONSO Murilo63
93 VAN ENGELEN Adne51
95 DE ROSSI Lucas70
96 KHALMURATOV Muradjan68
97 TEDESCHI Mirko69
98 DRAPERI Matteo70
109 YAMAMOTO Genki62
110 BĒCIS Armands82
117 TYBOR Patrik72
119 VELTMAN Milan66
125 STACCHIOTTI Riccardo70