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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Sabido
1
70 kgCárdenas
2
59 kgGeorge
3
61 kgKannemeyer
5
67 kgCox
6
62 kgFroome
7
68 kgEfimkin
8
70 kgGruzdev
9
78 kgHunter
12
72 kgDe Ketele
14
66 kgVenter
21
70 kgMørkøv
26
71 kgvan Houts
27
64 kgDyachenko
28
65 kgImpey
29
72 kgRetschke
30
66 kgGuidi
31
73 kgVelits
32
63 kgHoffmann
34
65 kg
1
70 kgCárdenas
2
59 kgGeorge
3
61 kgKannemeyer
5
67 kgCox
6
62 kgFroome
7
68 kgEfimkin
8
70 kgGruzdev
9
78 kgHunter
12
72 kgDe Ketele
14
66 kgVenter
21
70 kgMørkøv
26
71 kgvan Houts
27
64 kgDyachenko
28
65 kgImpey
29
72 kgRetschke
30
66 kgGuidi
31
73 kgVelits
32
63 kgHoffmann
34
65 kg
Weight (KG) →
Result →
78
59
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SABIDO Hugo | 70 |
| 2 | CÁRDENAS Félix Rafael | 59 |
| 3 | GEORGE David | 61 |
| 5 | KANNEMEYER Tiaan | 67 |
| 6 | COX Ryan | 62 |
| 7 | FROOME Chris | 68 |
| 8 | EFIMKIN Alexander | 70 |
| 9 | GRUZDEV Dmitriy | 78 |
| 12 | HUNTER Robert | 72 |
| 14 | DE KETELE Kenny | 66 |
| 21 | VENTER Jaco | 70 |
| 26 | MØRKØV Michael | 71 |
| 27 | VAN HOUTS Rudi | 64 |
| 28 | DYACHENKO Alexandr | 65 |
| 29 | IMPEY Daryl | 72 |
| 30 | RETSCHKE Robert | 66 |
| 31 | GUIDI Fabrizio | 73 |
| 32 | VELITS Peter | 63 |
| 34 | HOFFMANN Erik | 65 |