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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Flens
1
82 kgLelay
2
67 kgRollin
4
83 kgFeillu
5
62 kgKozontchuk
6
75 kgVelits
9
63 kgWestra
10
74 kg
1
82 kgLelay
2
67 kgRollin
4
83 kgFeillu
5
62 kgKozontchuk
6
75 kgVelits
9
63 kgWestra
10
74 kg
Weight (KG) →
Result →
83
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLENS Rick | 82 |
| 2 | LELAY David | 67 |
| 4 | ROLLIN Dominique | 83 |
| 5 | FEILLU Romain | 62 |
| 6 | KOZONTCHUK Dmitry | 75 |
| 9 | VELITS Peter | 63 |
| 10 | WESTRA Lieuwe | 74 |