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 = 1.5 * weight - 89
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Seeldraeyers
1
60 kgSørensen
2
64 kgZoidl
3
63 kgFrank
4
64 kgIgnatiev
5
67 kgDyachenko
6
65 kgDevenyns
7
65 kgMajka
8
62 kgDombrowski
9
68 kgAru
10
63 kgParrinello
11
68 kgBenetseder
12
65 kgEdmüller
15
70 kgKišerlovski
16
72 kgFouchard
19
74 kgWellens
20
71 kgCanuti
21
68 kgFrapporti
22
69 kgPaterski
23
73 kgMalaguti
25
67 kg
1
60 kgSørensen
2
64 kgZoidl
3
63 kgFrank
4
64 kgIgnatiev
5
67 kgDyachenko
6
65 kgDevenyns
7
65 kgMajka
8
62 kgDombrowski
9
68 kgAru
10
63 kgParrinello
11
68 kgBenetseder
12
65 kgEdmüller
15
70 kgKišerlovski
16
72 kgFouchard
19
74 kgWellens
20
71 kgCanuti
21
68 kgFrapporti
22
69 kgPaterski
23
73 kgMalaguti
25
67 kg
Weight (KG) →
Result →
74
60
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEELDRAEYERS Kevin | 60 |
| 2 | SØRENSEN Chris Anker | 64 |
| 3 | ZOIDL Riccardo | 63 |
| 4 | FRANK Mathias | 64 |
| 5 | IGNATIEV Mikhail | 67 |
| 6 | DYACHENKO Alexandr | 65 |
| 7 | DEVENYNS Dries | 65 |
| 8 | MAJKA Rafał | 62 |
| 9 | DOMBROWSKI Joe | 68 |
| 10 | ARU Fabio | 63 |
| 11 | PARRINELLO Antonino | 68 |
| 12 | BENETSEDER Josef | 65 |
| 15 | EDMÜLLER Benjamin | 70 |
| 16 | KIŠERLOVSKI Robert | 72 |
| 19 | FOUCHARD Julien | 74 |
| 20 | WELLENS Tim | 71 |
| 21 | CANUTI Federico | 68 |
| 22 | FRAPPORTI Marco | 69 |
| 23 | PATERSKI Maciej | 73 |
| 25 | MALAGUTI Alessandro | 67 |