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 = -0.7 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Fagnini
2
70 kgBortolami
3
73 kgMoncassin
4
73 kgvan Heeswijk
7
73 kgDierckxsens
8
71 kgRodrigues
10
68 kg
2
70 kgBortolami
3
73 kgMoncassin
4
73 kgvan Heeswijk
7
73 kgDierckxsens
8
71 kgRodrigues
10
68 kg
Weight (KG) →
Result →
73
68
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FAGNINI Gian Matteo | 70 |
| 3 | BORTOLAMI Gianluca | 73 |
| 4 | MONCASSIN Frédéric | 73 |
| 7 | VAN HEESWIJK Max | 73 |
| 8 | DIERCKXSENS Ludo | 71 |
| 10 | RODRIGUES Orlando Sergio | 68 |