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 = 0.4 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | INDURÁIN Miguel | 76 |
| 2 | ROCHE Stephen | 74 |
| 3 | MADIOT Marc | 68 |
| 4 | WINNEN Peter | 60 |
| 5 | RUÉ Gérard | 74 |
| 13 | DELGADO Pedro | 64 |
| 17 | MARIE Thierry | 68 |
| 31 | SCHEPERS Eddy | 60 |
| 32 | VAN DER POEL Adrie | 70 |
| 38 | ELLI Alberto | 71 |
| 39 | CENGHIALTA Bruno | 73 |
| 45 | MURGUIALDAY Javier | 58 |
| 60 | BREUKINK Erik | 70 |
| 66 | SØRENSEN Rolf | 70 |
| 72 | BAFFI Adriano | 70 |
| 74 | PEETERS Wilfried | 76 |