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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bagot
1
65 kgAntón
2
64 kgMaté
3
68 kgFerrari
4
64 kgMas
5
69 kgLastra
6
64 kg
1
65 kgAntón
2
64 kgMaté
3
68 kgFerrari
4
64 kgMas
5
69 kgLastra
6
64 kg
Weight (KG) →
Result →
69
64
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGOT Yoann | 65 |
| 2 | ANTÓN Igor | 64 |
| 3 | MATÉ Luis Ángel | 68 |
| 4 | FERRARI Fabricio | 64 |
| 5 | MAS Lluís | 69 |
| 6 | LASTRA Jonathan | 64 |