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 = 3.8 * weight - 214
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
Ubeto
20
60 kgPérez
25
68 kgSánchez
26
72 kgChacón
28
63 kgKvasina
49
72 kgRogina
54
70 kgKoren
85
72 kgKocjan
94
72 kg
20
60 kgPérez
25
68 kgSánchez
26
72 kgChacón
28
63 kgKvasina
49
72 kgRogina
54
70 kgKoren
85
72 kgKocjan
94
72 kg
Weight (KG) →
Result →
72
60
20
94
| # | Rider | Weight (KG) |
|---|---|---|
| 20 | UBETO Miguel Armando | 60 |
| 25 | PÉREZ Pedro Pablo | 68 |
| 26 | SÁNCHEZ Augusto | 72 |
| 28 | CHACÓN José Isidro | 63 |
| 49 | KVASINA Matija | 72 |
| 54 | ROGINA Radoslav | 70 |
| 85 | KOREN Kristijan | 72 |
| 94 | KOCJAN Jure | 72 |