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 = 1.4 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | UGRUMOV Piotr | 58 |
| 3 | BREUKINK Erik | 70 |
| 5 | WELTZ Johnny | 65 |
| 6 | INDURÁIN Miguel | 76 |
| 19 | LLACH Joaquin | 58 |
| 21 | ALONSO Marino | 70 |
| 23 | MAURI Melchor | 68 |
| 24 | DE VRIES Gerrit | 75 |
| 37 | DOMÍNGUEZ Manuel Jorge | 67 |
| 45 | DERNIES Michel | 75 |
| 46 | FONDRIEST Maurizio | 70 |
| 48 | JÄRMANN Rolf | 73 |
| 52 | DEN BAKKER Maarten | 71 |
| 53 | DE CLERCQ Mario | 66 |
| 58 | SERGEANT Marc | 76 |
| 68 | NIJDAM Jelle | 70 |