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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Martín Perdiguero
1
63 kgUsov
2
63 kgCommesso
3
66 kgSivakov
5
72 kgSevilla
7
62 kgOngarato
8
69 kg
1
63 kgUsov
2
63 kgCommesso
3
66 kgSivakov
5
72 kgSevilla
7
62 kgOngarato
8
69 kg
Weight (KG) →
Result →
72
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 2 | USOV Alexandre | 63 |
| 3 | COMMESSO Salvatore | 66 |
| 5 | SIVAKOV Alexei | 72 |
| 7 | SEVILLA Óscar | 62 |
| 8 | ONGARATO Alberto | 69 |