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 = 4.2 * weight - 255
This means that on average for every extra kilogram weight a rider loses 4.2 positions in the result.
Mahorič
1
68 kgPérez
5
68 kgUbeto
8
60 kgChacón
20
63 kgRogina
22
70 kgSánchez
48
72 kgKoren
56
72 kgKvasina
81
72 kg
1
68 kgPérez
5
68 kgUbeto
8
60 kgChacón
20
63 kgRogina
22
70 kgSánchez
48
72 kgKoren
56
72 kgKvasina
81
72 kg
Weight (KG) →
Result →
72
60
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAHORIČ Mitja | 68 |
| 5 | PÉREZ Pedro Pablo | 68 |
| 8 | UBETO Miguel Armando | 60 |
| 20 | CHACÓN José Isidro | 63 |
| 22 | ROGINA Radoslav | 70 |
| 48 | SÁNCHEZ Augusto | 72 |
| 56 | KOREN Kristijan | 72 |
| 81 | KVASINA Matija | 72 |