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 = -0.4 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kolahdozhagh
1
60 kgCoenen
2
67 kgMizbani
3
67 kgAskari
4
73 kgPujol
6
58 kgCariño
15
54 kgGuardiola
21
65 kg
1
60 kgCoenen
2
67 kgMizbani
3
67 kgAskari
4
73 kgPujol
6
58 kgCariño
15
54 kgGuardiola
21
65 kg
Weight (KG) →
Result →
73
54
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOLAHDOZHAGH Amir | 60 |
| 2 | COENEN Johan | 67 |
| 3 | MIZBANI Ghader | 67 |
| 4 | ASKARI Hossein | 73 |
| 6 | PUJOL Óscar | 58 |
| 15 | CARIÑO El Joshua | 54 |
| 21 | GUARDIOLA Salvador | 65 |