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 = 1.5 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Chalapud
1
63 kgChumil
6
62 kgJurado
15
68 kgRojas
39
64 kgvan der Meer
51
82 kgde los Santos
62
64 kg
1
63 kgChumil
6
62 kgJurado
15
68 kgRojas
39
64 kgvan der Meer
51
82 kgde los Santos
62
64 kg
Weight (KG) →
Result →
82
62
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHALAPUD Robinson | 63 |
| 6 | CHUMIL Sergio Geovani | 62 |
| 15 | JURADO Christofer Robín | 68 |
| 39 | ROJAS Brandon Alejandro | 64 |
| 51 | VAN DER MEER Nick | 82 |
| 62 | DE LOS SANTOS Argus | 64 |