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:
The formula for the regression line on the riders in the result is as follows:
result = -0.8 * weight + 104
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Calzati
3
68 kgDerepas
7
69 kgDumoulin
11
57 kgHushovd
12
83 kgFédrigo
15
66 kgLhuillier
19
69 kgHegreberg
20
72 kgCharteau
33
67 kgSzmyd
41
60 kgFritsch
49
65 kgCasar
58
63 kgDion
59
65 kgPortal
66
70 kgInaudi
69
67 kgWegmann
73
60 kgSinkewitz
81
63 kgCoutouly
84
72 kgVoeckler
88
71 kgBaumann
89
72 kgScholz
94
60 kg
3
68 kgDerepas
7
69 kgDumoulin
11
57 kgHushovd
12
83 kgFédrigo
15
66 kgLhuillier
19
69 kgHegreberg
20
72 kgCharteau
33
67 kgSzmyd
41
60 kgFritsch
49
65 kgCasar
58
63 kgDion
59
65 kgPortal
66
70 kgInaudi
69
67 kgWegmann
73
60 kgSinkewitz
81
63 kgCoutouly
84
72 kgVoeckler
88
71 kgBaumann
89
72 kgScholz
94
60 kg
Weight (KG) →
Result →
83
57
3
94
# | Rider | Weight (KG) |
---|---|---|
3 | CALZATI Sylvain | 68 |
7 | DEREPAS David | 69 |
11 | DUMOULIN Samuel | 57 |
12 | HUSHOVD Thor | 83 |
15 | FÉDRIGO Pierrick | 66 |
19 | LHUILLIER Régis | 69 |
20 | HEGREBERG Morten | 72 |
33 | CHARTEAU Anthony | 67 |
41 | SZMYD Sylwester | 60 |
49 | FRITSCH Nicolas | 65 |
58 | CASAR Sandy | 63 |
59 | DION Renaud | 65 |
66 | PORTAL Nicolas | 70 |
69 | INAUDI Nicolas | 67 |
73 | WEGMANN Fabian | 60 |
81 | SINKEWITZ Patrik | 63 |
84 | COUTOULY Cédric | 72 |
88 | VOECKLER Thomas | 71 |
89 | BAUMANN Eric | 72 |
94 | SCHOLZ Ronny | 60 |