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 - 155
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Kocjan
6
72 kgPérez
9
68 kgUbeto
11
60 kgChacón
14
63 kgKoren
34
72 kgKvasina
35
72 kgSánchez
65
72 kgRogina
94
70 kg
6
72 kgPérez
9
68 kgUbeto
11
60 kgChacón
14
63 kgKoren
34
72 kgKvasina
35
72 kgSánchez
65
72 kgRogina
94
70 kg
Weight (KG) →
Result →
72
60
6
94
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | KOCJAN Jure | 72 |
| 9 | PÉREZ Pedro Pablo | 68 |
| 11 | UBETO Miguel Armando | 60 |
| 14 | CHACÓN José Isidro | 63 |
| 34 | KOREN Kristijan | 72 |
| 35 | KVASINA Matija | 72 |
| 65 | SÁNCHEZ Augusto | 72 |
| 94 | ROGINA Radoslav | 70 |