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.
Martín Perdiguero
1
63 kgWrolich
3
68 kgGonzález de Galdeano
5
73 kgEdo
6
64 kgGarrido
7
70 kgAstarloa
9
61 kg
1
63 kgWrolich
3
68 kgGonzález de Galdeano
5
73 kgEdo
6
64 kgGarrido
7
70 kgAstarloa
9
61 kg
Weight (KG) →
Result →
73
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 3 | WROLICH Peter | 68 |
| 5 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 6 | EDO Ángel | 64 |
| 7 | GARRIDO Martin Gerardo | 70 |
| 9 | ASTARLOA Igor | 61 |