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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Mercado
1
56 kgSevilla
2
62 kgBeloki
3
68 kgLudewig
4
75 kgJiménez
5
70 kgPospyeyev
6
71 kgLaguna
7
61 kgHoste
8
80 kgSmetanine
9
69 kgRubiera
10
69 kgKroon
11
67 kgMillar
12
79 kgCuesta
13
62 kgBotero
14
75 kgPlaza
15
68 kgOsa
16
64 kgCárdenas
17
59 kgVicioso
18
60 kgBeltrán
19
60 kgCasero
21
72 kgLeipheimer
23
62 kgHeras
24
59 kgHunter
25
72 kg
1
56 kgSevilla
2
62 kgBeloki
3
68 kgLudewig
4
75 kgJiménez
5
70 kgPospyeyev
6
71 kgLaguna
7
61 kgHoste
8
80 kgSmetanine
9
69 kgRubiera
10
69 kgKroon
11
67 kgMillar
12
79 kgCuesta
13
62 kgBotero
14
75 kgPlaza
15
68 kgOsa
16
64 kgCárdenas
17
59 kgVicioso
18
60 kgBeltrán
19
60 kgCasero
21
72 kgLeipheimer
23
62 kgHeras
24
59 kgHunter
25
72 kg
Weight (KG) →
Result →
80
56
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCADO Juan Miguel | 56 |
| 2 | SEVILLA Óscar | 62 |
| 3 | BELOKI Joseba | 68 |
| 4 | LUDEWIG Jörg | 75 |
| 5 | JIMÉNEZ José María | 70 |
| 6 | POSPYEYEV Kyrylo | 71 |
| 7 | LAGUNA Oscar | 61 |
| 8 | HOSTE Leif | 80 |
| 9 | SMETANINE Serguei | 69 |
| 10 | RUBIERA José Luis | 69 |
| 11 | KROON Karsten | 67 |
| 12 | MILLAR David | 79 |
| 13 | CUESTA Iñigo | 62 |
| 14 | BOTERO Santiago | 75 |
| 15 | PLAZA David | 68 |
| 16 | OSA Aitor | 64 |
| 17 | CÁRDENAS Félix Rafael | 59 |
| 18 | VICIOSO Ángel | 60 |
| 19 | BELTRÁN Manuel | 60 |
| 21 | CASERO Ángel Luis | 72 |
| 23 | LEIPHEIMER Levi | 62 |
| 24 | HERAS Roberto | 59 |
| 25 | HUNTER Robert | 72 |