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 + 23
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Chumil
2
62 kgChalapud
18
63 kgJurado
30
68 kgvan der Meer
33
82 kgde los Santos
57
64 kgRojas
64
64 kg
2
62 kgChalapud
18
63 kgJurado
30
68 kgvan der Meer
33
82 kgde los Santos
57
64 kgRojas
64
64 kg
Weight (KG) →
Result →
82
62
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHUMIL Sergio Geovani | 62 |
| 18 | CHALAPUD Robinson | 63 |
| 30 | JURADO Christofer Robín | 68 |
| 33 | VAN DER MEER Nick | 82 |
| 57 | DE LOS SANTOS Argus | 64 |
| 64 | ROJAS Brandon Alejandro | 64 |