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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Braspennincx
2
82 kgCañardo
3
77 kgVicente
4
62 kgSchepers
6
80 kgBonduel
9
74 kgEzquerra
10
63 kgGimeno
19
73 kg
2
82 kgCañardo
3
77 kgVicente
4
62 kgSchepers
6
80 kgBonduel
9
74 kgEzquerra
10
63 kgGimeno
19
73 kg
Weight (KG) →
Result →
82
62
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRASPENNINCX John | 82 |
| 3 | CAÑARDO Mariano | 77 |
| 4 | VICENTE Demetrio | 62 |
| 6 | SCHEPERS Alfons | 80 |
| 9 | BONDUEL Frans | 74 |
| 10 | EZQUERRA Federico | 63 |
| 19 | GIMENO Juan | 73 |