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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Costa
1
69 kgMancebo
2
64 kgTondo
3
68 kgRasmussen
4
58 kgSevilla
5
62 kgChadwick
6
75 kgMoreno
7
59 kgVitoria
10
74 kg
1
69 kgMancebo
2
64 kgTondo
3
68 kgRasmussen
4
58 kgSevilla
5
62 kgChadwick
6
75 kgMoreno
7
59 kgVitoria
10
74 kg
Weight (KG) →
Result →
75
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COSTA Rui | 69 |
| 2 | MANCEBO Francisco | 64 |
| 3 | TONDO Xavier | 68 |
| 4 | RASMUSSEN Michael | 58 |
| 5 | SEVILLA Óscar | 62 |
| 6 | CHADWICK Glen Alan | 75 |
| 7 | MORENO Daniel | 59 |
| 10 | VITORIA David | 74 |