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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Navas
1
78 kgMauri
2
68 kgGamito
3
66 kgSmetanine
6
69 kgAzevedo
7
59 kgPereiro
8
67 kg
1
78 kgMauri
2
68 kgGamito
3
66 kgSmetanine
6
69 kgAzevedo
7
59 kgPereiro
8
67 kg
Weight (KG) →
Result →
78
59
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVAS David | 78 |
| 2 | MAURI Melchor | 68 |
| 3 | GAMITO Vitor | 66 |
| 6 | SMETANINE Serguei | 69 |
| 7 | AZEVEDO José Bento | 59 |
| 8 | PEREIRO Óscar | 67 |