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 = 1.7 * weight - 103
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Lambrichs
7
67 kgBerrendero
7
63 kgGimeno
7
73 kgPerret
31
79 kgSijen
35
74 kg
7
67 kgBerrendero
7
63 kgGimeno
7
73 kgPerret
31
79 kgSijen
35
74 kg
Weight (KG) →
Result →
79
63
7
35
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | LAMBRICHS Jan | 67 |
| 7 | BERRENDERO Julián | 63 |
| 7 | GIMENO Juan | 73 |
| 31 | PERRET Théo | 79 |
| 35 | SIJEN Hubert | 74 |