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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Vasseur
1
70 kgKirsipuu
3
80 kgZabel
4
69 kgMoncassin
6
73 kgJohnsen
7
70 kgPascual Llorente
8
68 kg
1
70 kgKirsipuu
3
80 kgZabel
4
69 kgMoncassin
6
73 kgJohnsen
7
70 kgPascual Llorente
8
68 kg
Weight (KG) →
Result →
80
68
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VASSEUR Cédric | 70 |
| 3 | KIRSIPUU Jaan | 80 |
| 4 | ZABEL Erik | 69 |
| 6 | MONCASSIN Frédéric | 73 |
| 7 | JOHNSEN Lars Kristian | 70 |
| 8 | PASCUAL LLORENTE Javier | 68 |