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 = 1.4 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Tamouridis
2
70 kgGerganov
6
60 kgNechita
8
71 kgPetrov
11
66 kgGrosu
13
68 kgLovassy
21
71 kgHoops
39
72 kg
2
70 kgGerganov
6
60 kgNechita
8
71 kgPetrov
11
66 kgGrosu
13
68 kgLovassy
21
71 kgHoops
39
72 kg
Weight (KG) →
Result →
72
60
2
39
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMOURIDIS Ioannis | 70 |
| 6 | GERGANOV Evgeni | 60 |
| 8 | NECHITA Andrei | 71 |
| 11 | PETROV Daniel Bogomilov | 66 |
| 13 | GROSU Eduard-Michael | 68 |
| 21 | LOVASSY Krisztián | 71 |
| 39 | HOOPS Gregor | 72 |