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 = 0.5 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DELGADO Pedro | 64 |
| 5 | ROMINGER Tony | 65 |
| 7 | MUJIKA Jokin | 73 |
| 10 | INDURÁIN Miguel | 76 |
| 12 | MEJIA Alvaro | 63 |
| 14 | BREUKINK Erik | 70 |
| 25 | HERRERA Luis Alberto | 57 |
| 39 | HODGE Stephen | 74 |
| 48 | DOMÍNGUEZ Manuel Jorge | 67 |
| 55 | ALONSO Marino | 70 |
| 76 | MURGUIALDAY Javier | 58 |
| 77 | SCIREA Mario | 80 |
| 88 | DE ROOIJ Theo | 69 |