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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hushovd
1
83 kgDumoulin
2
57 kgPineau
3
65 kgElmiger
4
73 kgEisel
5
74 kgVanthourenhout
6
65 kgRenier
7
69 kgEdaleine
8
62 kgFernández
9
71 kgAmorison
10
70 kgJoachim
11
82 kgBrochard
12
68 kgRous
13
70 kgMartínez
15
70 kgKrivtsov
16
72 kgMengin
17
68 kgNoval
18
71 kgAzevedo
19
59 kgWillems
20
67 kg
1
83 kgDumoulin
2
57 kgPineau
3
65 kgElmiger
4
73 kgEisel
5
74 kgVanthourenhout
6
65 kgRenier
7
69 kgEdaleine
8
62 kgFernández
9
71 kgAmorison
10
70 kgJoachim
11
82 kgBrochard
12
68 kgRous
13
70 kgMartínez
15
70 kgKrivtsov
16
72 kgMengin
17
68 kgNoval
18
71 kgAzevedo
19
59 kgWillems
20
67 kg
Weight (KG) →
Result →
83
57
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUSHOVD Thor | 83 |
| 2 | DUMOULIN Samuel | 57 |
| 3 | PINEAU Jérôme | 65 |
| 4 | ELMIGER Martin | 73 |
| 5 | EISEL Bernhard | 74 |
| 6 | VANTHOURENHOUT Sven | 65 |
| 7 | RENIER Franck | 69 |
| 8 | EDALEINE Christophe | 62 |
| 9 | FERNÁNDEZ Koldo | 71 |
| 10 | AMORISON Frédéric | 70 |
| 11 | JOACHIM Benoît | 82 |
| 12 | BROCHARD Laurent | 68 |
| 13 | ROUS Didier | 70 |
| 15 | MARTÍNEZ Egoi | 70 |
| 16 | KRIVTSOV Yuriy | 72 |
| 17 | MENGIN Christophe | 68 |
| 18 | NOVAL Benjamín | 71 |
| 19 | AZEVEDO José Bento | 59 |
| 20 | WILLEMS Frederik | 67 |