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 = -0.9 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Lovassy
1
71 kgTamouridis
5
70 kgNechita
13
71 kgHoops
14
72 kgGerganov
17
60 kgPetrov
20
66 kg
1
71 kgTamouridis
5
70 kgNechita
13
71 kgHoops
14
72 kgGerganov
17
60 kgPetrov
20
66 kg
Weight (KG) →
Result →
72
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOVASSY Krisztián | 71 |
| 5 | TAMOURIDIS Ioannis | 70 |
| 13 | NECHITA Andrei | 71 |
| 14 | HOOPS Gregor | 72 |
| 17 | GERGANOV Evgeni | 60 |
| 20 | PETROV Daniel Bogomilov | 66 |