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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kvachuk
1
68 kgVan den Broeck
2
69 kgVastaranta
6
63 kgKondrut
7
79 kgRiccò
8
57 kg
1
68 kgVan den Broeck
2
69 kgVastaranta
6
63 kgKondrut
7
79 kgRiccò
8
57 kg
Weight (KG) →
Result →
79
57
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVACHUK Oleksandr | 68 |
| 2 | VAN DEN BROECK Jurgen | 69 |
| 6 | VASTARANTA Jukka | 63 |
| 7 | KONDRUT Vitaliy | 79 |
| 8 | RICCÒ Riccardo | 57 |