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 = 0.8 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Tamouridis
3
70 kgLovassy
7
71 kgPetrov
8
66 kgGerganov
11
60 kgNechita
22
71 kgHoops
31
72 kg
3
70 kgLovassy
7
71 kgPetrov
8
66 kgGerganov
11
60 kgNechita
22
71 kgHoops
31
72 kg
Weight (KG) →
Result →
72
60
3
31
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TAMOURIDIS Ioannis | 70 |
| 7 | LOVASSY Krisztián | 71 |
| 8 | PETROV Daniel Bogomilov | 66 |
| 11 | GERGANOV Evgeni | 60 |
| 22 | NECHITA Andrei | 71 |
| 31 | HOOPS Gregor | 72 |