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 = -1.5 * weight + 122
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Lovassy
6
71 kgNechita
7
71 kgPetrov
10
66 kgHoops
14
72 kgTamouridis
20
70 kgGerganov
30
60 kgGrosu
39
68 kg
6
71 kgNechita
7
71 kgPetrov
10
66 kgHoops
14
72 kgTamouridis
20
70 kgGerganov
30
60 kgGrosu
39
68 kg
Weight (KG) →
Result →
72
60
6
39
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | LOVASSY Krisztián | 71 |
| 7 | NECHITA Andrei | 71 |
| 10 | PETROV Daniel Bogomilov | 66 |
| 14 | HOOPS Gregor | 72 |
| 20 | TAMOURIDIS Ioannis | 70 |
| 30 | GERGANOV Evgeni | 60 |
| 39 | GROSU Eduard-Michael | 68 |