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 = -2.8 * weight + 242
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Debusschere
2
77 kgSagan
13
78 kgSelig
18
80 kgAhlstrand
41
72 kgMahďar
47
61 kgThill
72
73 kgLammertink
82
61 kg
2
77 kgSagan
13
78 kgSelig
18
80 kgAhlstrand
41
72 kgMahďar
47
61 kgThill
72
73 kgLammertink
82
61 kg
Weight (KG) →
Result →
80
61
2
82
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEBUSSCHERE Jens | 77 |
| 13 | SAGAN Peter | 78 |
| 18 | SELIG Rüdiger | 80 |
| 41 | AHLSTRAND Jonas | 72 |
| 47 | MAHĎAR Martin | 61 |
| 72 | THILL Tom | 73 |
| 82 | LAMMERTINK Maurits | 61 |