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 + 76
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Lovassy
2
71 kgTamouridis
3
70 kgNechita
9
71 kgHoops
12
72 kgGerganov
13
60 kgPetrov
30
66 kg
2
71 kgTamouridis
3
70 kgNechita
9
71 kgHoops
12
72 kgGerganov
13
60 kgPetrov
30
66 kg
Weight (KG) →
Result →
72
60
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LOVASSY Krisztián | 71 |
| 3 | TAMOURIDIS Ioannis | 70 |
| 9 | NECHITA Andrei | 71 |
| 12 | HOOPS Gregor | 72 |
| 13 | GERGANOV Evgeni | 60 |
| 30 | PETROV Daniel Bogomilov | 66 |