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 = -2.7 * weight + 213
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Tamouridis
1
70 kgNechita
4
71 kgHoops
20
72 kgLovassy
22
71 kgGerganov
39
60 kgPetrov
41
66 kgGrosu
60
68 kg
1
70 kgNechita
4
71 kgHoops
20
72 kgLovassy
22
71 kgGerganov
39
60 kgPetrov
41
66 kgGrosu
60
68 kg
Weight (KG) →
Result →
72
60
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMOURIDIS Ioannis | 70 |
| 4 | NECHITA Andrei | 71 |
| 20 | HOOPS Gregor | 72 |
| 22 | LOVASSY Krisztián | 71 |
| 39 | GERGANOV Evgeni | 60 |
| 41 | PETROV Daniel Bogomilov | 66 |
| 60 | GROSU Eduard-Michael | 68 |