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.
Watson
2
68 kgHessmann
4
78 kgAyuso
5
65 kgRodríguez
11
67 kgVauquelin
12
69 kgEpis
13
64 kgGudmestad
14
82 kg
2
68 kgHessmann
4
78 kgAyuso
5
65 kgRodríguez
11
67 kgVauquelin
12
69 kgEpis
13
64 kgGudmestad
14
82 kg
Weight (KG) →
Result →
82
64
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WATSON Samuel | 68 |
| 4 | HESSMANN Michel | 78 |
| 5 | AYUSO Juan | 65 |
| 11 | RODRÍGUEZ Carlos | 67 |
| 12 | VAUQUELIN Kévin | 69 |
| 13 | EPIS Giosuè | 64 |
| 14 | GUDMESTAD Tord | 82 |