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 = 2.3 * weight - 105
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 4 | DELGADO Pedro | 64 |
| 6 | BREUKINK Erik | 70 |
| 7 | ROCHE Stephen | 74 |
| 8 | EKIMOV Viatcheslav | 69 |
| 14 | MAURI Melchor | 68 |
| 27 | SCHEPERS Eddy | 60 |
| 47 | PRADO Vicente | 69 |
| 48 | ALONSO Marino | 70 |
| 53 | DOMÍNGUEZ Manuel Jorge | 67 |
| 60 | CAROLI Daniele | 77 |
| 67 | BALBOA Antonio | 66 |
| 68 | NEVENS Jan | 58 |
| 97 | CABELLO Francisco | 72 |
| 109 | VILAMAJO Jaime | 70 |
| 110 | DE ROOIJ Theo | 69 |
| 115 | NAVARRO Francisco | 77 |