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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Lührs
1
83 kgVan den Bossche
2
63 kgHohmann
4
73 kgLaurance
9
63 kgVan Grieken
10
71 kgVerwilt
11
76 kg
1
83 kgVan den Bossche
2
63 kgHohmann
4
73 kgLaurance
9
63 kgVan Grieken
10
71 kgVerwilt
11
76 kg
Weight (KG) →
Result →
83
63
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÜHRS Leslie | 83 |
| 2 | VAN DEN BOSSCHE Fabio | 63 |
| 4 | HOHMANN Lars | 73 |
| 9 | LAURANCE Axel | 63 |
| 10 | VAN GRIEKEN Jarne | 71 |
| 11 | VERWILT Mauro | 76 |