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 = 0.6 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Chumil
12
62 kgvan der Meer
48
82 kgChalapud
50
63 kgde los Santos
55
64 kg
12
62 kgvan der Meer
48
82 kgChalapud
50
63 kgde los Santos
55
64 kg
Weight (KG) →
Result →
82
62
12
55
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | CHUMIL Sergio Geovani | 62 |
| 48 | VAN DER MEER Nick | 82 |
| 50 | CHALAPUD Robinson | 63 |
| 55 | DE LOS SANTOS Argus | 64 |