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 + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zabel
2
69 kgKirsipuu
3
80 kgKoerts
4
78 kgMichaelsen
5
79 kgBlijlevens
6
70 kgMoncassin
8
73 kg
2
69 kgKirsipuu
3
80 kgKoerts
4
78 kgMichaelsen
5
79 kgBlijlevens
6
70 kgMoncassin
8
73 kg
Weight (KG) →
Result →
80
69
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZABEL Erik | 69 |
| 3 | KIRSIPUU Jaan | 80 |
| 4 | KOERTS Jans | 78 |
| 5 | MICHAELSEN Lars | 79 |
| 6 | BLIJLEVENS Jeroen | 70 |
| 8 | MONCASSIN Frédéric | 73 |