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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
González
1
68 kgMartingil
2
67 kgGalván
4
69 kgAular
5
65 kgBárta
6
79 kgRota
7
64 kgMatias
8
72 kgFernández
10
78 kg
1
68 kgMartingil
2
67 kgGalván
4
69 kgAular
5
65 kgBárta
6
79 kgRota
7
64 kgMatias
8
72 kgFernández
10
78 kg
Weight (KG) →
Result →
79
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONZÁLEZ David | 68 |
| 2 | MARTINGIL César | 67 |
| 4 | GALVÁN Francisco | 69 |
| 5 | AULAR Orluis | 65 |
| 6 | BÁRTA Tomáš | 79 |
| 7 | ROTA Raúl | 64 |
| 8 | MATIAS João | 72 |
| 10 | FERNÁNDEZ Miguel Ángel | 78 |