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 - 4
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | LASA Miguel María | 68 |
| 17 | DÍAZ Ventura | 72 |
| 18 | SWERTS Roger | 75 |
| 19 | BOURREAU Bernard | 63 |
| 25 | OVION Régis | 64 |
| 30 | VIEJO José Luis | 64 |
| 34 | ELORRIAGA Javier Francisco | 85 |
| 48 | VASSEUR Alain | 67 |
| 51 | TSCHAN Jürgen | 68 |
| 63 | TAMAMES Agustín | 66 |
| 69 | SCHLECK Johny | 72 |
| 70 | KARSTENS Gerben | 74 |
| 73 | KIRCHEN Erny | 74 |