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 = 0.6 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMAMES Agustín | 66 |
| 2 | LASA Miguel María | 68 |
| 13 | KUIPER Hennie | 69 |
| 28 | VIEJO José Luis | 64 |
| 33 | SWERTS Roger | 75 |
| 34 | DÍAZ Ventura | 72 |
| 36 | ROSIERS Roger | 78 |
| 44 | DEN HERTOG Fedor | 76 |
| 59 | ALLAN Donald | 73 |
| 70 | DE BRAUWERE Lucien | 63 |