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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 = -0.7 * weight + 83

This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# Rider Weight (KG)
1 GILING Bas72
2 DEKKER Thomas69
3 GREIPEL André80
4 VEELERS Tom75
6 STAMSNIJDER Tom76
7 DE MAAR Marc70
8 SIEBERG Marcel80
9 SUTHERLAND Rory75
10 DIETZIKER Andreas67
13 CHRISTENSEN Mads69
14 DUIJN Huub73
15 KUX Christian74
18 STALDER Florian58
19 SCHWAB Hubert65
23 WAGNER Robert75
26 KLOSTERGAARD Kasper69
27 PAUWELS Serge65
28 WESTPHAL Carlo75
29 BRESCHEL Matti70
36 GERDEMANN Linus71
38 KOHL Bernhard61
39 CLARKE Jonathan68
41 MARTENS Paul69
44 FOTHEN Thomas71
47 MÜLLER Christian69
53 RUSS Matthias62
57 MUSIOL Daniel70
64 PEDERSEN Martin62
74 BURGHARDT Marcus75
75 BOMMEL Henning75
76 SAMOILAU Branislau77
101 FIRSANOV Sergey58
117 GAJEK Artur74
118 KOZONTCHUK Dmitry75