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 = 1.7 * weight - 100
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Gerganov
4
60 kgTamouridis
8
70 kgLovassy
10
71 kgPetrov
14
66 kgNechita
18
71 kgHoops
43
72 kg
4
60 kgTamouridis
8
70 kgLovassy
10
71 kgPetrov
14
66 kgNechita
18
71 kgHoops
43
72 kg
Weight (KG) →
Result →
72
60
4
43
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GERGANOV Evgeni | 60 |
| 8 | TAMOURIDIS Ioannis | 70 |
| 10 | LOVASSY Krisztián | 71 |
| 14 | PETROV Daniel Bogomilov | 66 |
| 18 | NECHITA Andrei | 71 |
| 43 | HOOPS Gregor | 72 |