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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Nechita
1
71 kgTamouridis
2
70 kgLovassy
7
71 kgPetrov
8
66 kgGerganov
20
60 kgHoops
30
72 kg
1
71 kgTamouridis
2
70 kgLovassy
7
71 kgPetrov
8
66 kgGerganov
20
60 kgHoops
30
72 kg
Weight (KG) →
Result →
72
60
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NECHITA Andrei | 71 |
| 2 | TAMOURIDIS Ioannis | 70 |
| 7 | LOVASSY Krisztián | 71 |
| 8 | PETROV Daniel Bogomilov | 66 |
| 20 | GERGANOV Evgeni | 60 |
| 30 | HOOPS Gregor | 72 |