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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Gamito
1
66 kgJufré
4
65 kgSilva
5
68 kgMauri
6
68 kgBernabéu
7
66 kgMosquera
10
65 kg
1
66 kgJufré
4
65 kgSilva
5
68 kgMauri
6
68 kgBernabéu
7
66 kgMosquera
10
65 kg
Weight (KG) →
Result →
68
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAMITO Vitor | 66 |
| 4 | JUFRÉ Josep | 65 |
| 5 | SILVA João Pedro | 68 |
| 6 | MAURI Melchor | 68 |
| 7 | BERNABÉU David | 66 |
| 10 | MOSQUERA Ezequiel | 65 |