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 = 2.3 * weight - 135
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Pérez
1
68 kgChacón
6
63 kgUbeto
8
60 kgKoren
26
72 kgKvasina
29
72 kgSánchez
32
72 kgRogina
45
70 kg
1
68 kgChacón
6
63 kgUbeto
8
60 kgKoren
26
72 kgKvasina
29
72 kgSánchez
32
72 kgRogina
45
70 kg
Weight (KG) →
Result →
72
60
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 6 | CHACÓN José Isidro | 63 |
| 8 | UBETO Miguel Armando | 60 |
| 26 | KOREN Kristijan | 72 |
| 29 | KVASINA Matija | 72 |
| 32 | SÁNCHEZ Augusto | 72 |
| 45 | ROGINA Radoslav | 70 |