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 = -1.2 * weight + 100
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
van der Meer
2
82 kgChalapud
3
63 kgChumil
4
62 kgRojas
6
64 kgJurado
10
68 kgde los Santos
101
64 kg
2
82 kgChalapud
3
63 kgChumil
4
62 kgRojas
6
64 kgJurado
10
68 kgde los Santos
101
64 kg
Weight (KG) →
Result →
82
62
2
101
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER MEER Nick | 82 |
| 3 | CHALAPUD Robinson | 63 |
| 4 | CHUMIL Sergio Geovani | 62 |
| 6 | ROJAS Brandon Alejandro | 64 |
| 10 | JURADO Christofer Robín | 68 |
| 101 | DE LOS SANTOS Argus | 64 |