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2016   »   Grand Prix Cycliste de Saguenay (2.2)

Stage 1   »   La Baie  ›  La Baie   (151km)
2016 | Stage 1
La Baie › La Baie (151km)
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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 = -1.6 * weight + 151

This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
# Rider Weight (KG)
1 PERRY Benjamin71
2 RÄIM Mihkel69
3 CATAFORD Alexander70
4 VAUBOURZEIX Thomas70
5 ROTH Ryan70
7 DAL-CIN Matteo77
9 BOIVIN Guillaume78
10 TUREK Daniel72
11 CRAVEN Dan75
13 CÔTÉ Pier-André74
15 YECHEZKEL Aviv70
16 BENHAMOUDA Mehdi64
19 JAMIESON Adam75
21 DE KEIJZER Gerd72.6
23 MENGOULAS Alex66
25 PICCOLI James65
29 VERSCHOOR Martijn74.5
32 WHITE Curtis70
34 GERVAIS Laurent72
42 CLANCY Stephen63
43 DE MESMAEKER Kevin68
46 BOILY David60
48 LEMUS Luis61
63 HORNER Chris70
65 BEYER Chad63
69 MACKINNON Sean75
71 HERNANDEZ Michael74
72 JENKINS Max63
75 RATHE Jacob74
78 NUÑO Israel58
81 GRIJALBA Fernando61
83 CONLY Lukas63
92 GEE Derek72
95 GRANIGAN Noah76