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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Kowalski
1
67 kgKragh Andersen
2
73 kgEg
3
60 kgBenoot
6
72 kgVan Gestel
8
74 kgBallerini
9
71 kg
1
67 kgKragh Andersen
2
73 kgEg
3
60 kgBenoot
6
72 kgVan Gestel
8
74 kgBallerini
9
71 kg
Weight (KG) →
Result →
74
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOWALSKI Dylan | 67 |
| 2 | KRAGH ANDERSEN Søren | 73 |
| 3 | EG Niklas | 60 |
| 6 | BENOOT Tiesj | 72 |
| 8 | VAN GESTEL Dries | 74 |
| 9 | BALLERINI Davide | 71 |