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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Prades
2
56 kgGajdulewicz
3
67 kgde Bod
4
66 kgBregnhøj
5
63 kgKelley
6
68 kgSmit
7
72 kgTeugels
8
64 kg
2
56 kgGajdulewicz
3
67 kgde Bod
4
66 kgBregnhøj
5
63 kgKelley
6
68 kgSmit
7
72 kgTeugels
8
64 kg
Weight (KG) →
Result →
72
56
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRADES Benjamín | 56 |
| 3 | GAJDULEWICZ Mateusz | 67 |
| 4 | DE BOD Stefan | 66 |
| 5 | BREGNHØJ Mathias | 63 |
| 6 | KELLEY Garin | 68 |
| 7 | SMIT Willie | 72 |
| 8 | TEUGELS Lennert | 64 |