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 = 0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMAMES Agustín | 66 |
| 4 | LASA Miguel María | 68 |
| 16 | DÍAZ Ventura | 72 |
| 29 | OVION Régis | 64 |
| 31 | SWERTS Roger | 75 |
| 32 | VIEJO José Luis | 64 |
| 34 | ELORRIAGA Javier Francisco | 85 |
| 42 | BOURREAU Bernard | 63 |
| 52 | KARSTENS Gerben | 74 |
| 60 | SCHLECK Johny | 72 |
| 64 | TSCHAN Jürgen | 68 |
| 66 | VASSEUR Alain | 67 |