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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bonduel
2
74 kgSchepers
3
80 kgGimeno
5
73 kgEzquerra
6
63 kgBraspennincx
7
82 kgVicente
8
62 kg
2
74 kgSchepers
3
80 kgGimeno
5
73 kgEzquerra
6
63 kgBraspennincx
7
82 kgVicente
8
62 kg
Weight (KG) →
Result →
82
62
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BONDUEL Frans | 74 |
| 3 | SCHEPERS Alfons | 80 |
| 5 | GIMENO Juan | 73 |
| 6 | EZQUERRA Federico | 63 |
| 7 | BRASPENNINCX John | 82 |
| 8 | VICENTE Demetrio | 62 |