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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUEÑAS Moisés | 61 |
| 6 | GALPARSORO Dionisio | 67 |
| 11 | VORGANOV Eduard | 65 |
| 15 | DE LA FUENTE David | 67 |
| 17 | SIJMENS Nico | 69 |
| 19 | VAN HUFFEL Wim | 66 |
| 20 | VERDUGO Gorka | 71 |
| 27 | REYNÉS Vicente | 69 |
| 28 | BARREDO Carlos | 61 |