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 - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mauri
1
68 kgKlöden
2
63 kgBarbosa
3
72 kgPlaza
4
68 kgGarcía Acosta
6
76 kgGamito
8
66 kg
1
68 kgKlöden
2
63 kgBarbosa
3
72 kgPlaza
4
68 kgGarcía Acosta
6
76 kgGamito
8
66 kg
Weight (KG) →
Result →
76
63
1
8
# | Rider | Weight (KG) |
---|---|---|
1 | MAURI Melchor | 68 |
2 | KLÖDEN Andreas | 63 |
3 | BARBOSA Cândido | 72 |
4 | PLAZA David | 68 |
6 | GARCÍA ACOSTA José Vicente | 76 |
8 | GAMITO Vitor | 66 |