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 = 2.7 * weight - 148
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Chalapud
1
63 kgChumil
7
62 kgde los Santos
56
64 kgvan der Meer
69
82 kg
1
63 kgChumil
7
62 kgde los Santos
56
64 kgvan der Meer
69
82 kg
Weight (KG) →
Result →
82
62
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHALAPUD Robinson | 63 |
| 7 | CHUMIL Sergio Geovani | 62 |
| 56 | DE LOS SANTOS Argus | 64 |
| 69 | VAN DER MEER Nick | 82 |