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 = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kocjan
2
72 kgSánchez
3
72 kgUbeto
4
60 kgPérez
5
68 kgKoren
11
72 kgKvasina
14
72 kgChacón
26
63 kgRogina
87
70 kg
2
72 kgSánchez
3
72 kgUbeto
4
60 kgPérez
5
68 kgKoren
11
72 kgKvasina
14
72 kgChacón
26
63 kgRogina
87
70 kg
Weight (KG) →
Result →
72
60
2
87
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOCJAN Jure | 72 |
| 3 | SÁNCHEZ Augusto | 72 |
| 4 | UBETO Miguel Armando | 60 |
| 5 | PÉREZ Pedro Pablo | 68 |
| 11 | KOREN Kristijan | 72 |
| 14 | KVASINA Matija | 72 |
| 26 | CHACÓN José Isidro | 63 |
| 87 | ROGINA Radoslav | 70 |