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 + 48
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Tondo
1
68 kgMachado
5
63 kgBernabéu
6
66 kgAzevedo
9
59 kgPalomares
10
56 kg
1
68 kgMachado
5
63 kgBernabéu
6
66 kgAzevedo
9
59 kgPalomares
10
56 kg
Weight (KG) →
Result →
68
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TONDO Xavier | 68 |
| 5 | MACHADO Tiago | 63 |
| 6 | BERNABÉU David | 66 |
| 9 | AZEVEDO José Bento | 59 |
| 10 | PALOMARES Adrián | 56 |