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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Zabel
1
69 kgZanini
2
80 kgPiccoli
5
64 kgvan Heeswijk
6
73 kgMauri
7
68 kg
1
69 kgZanini
2
80 kgPiccoli
5
64 kgvan Heeswijk
6
73 kgMauri
7
68 kg
Weight (KG) →
Result →
80
64
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | ZANINI Stefano | 80 |
| 5 | PICCOLI Mariano | 64 |
| 6 | VAN HEESWIJK Max | 73 |
| 7 | MAURI Melchor | 68 |