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 = 0.1 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KELLY Sean | 77 |
| 6 | FIGNON Laurent | 67 |
| 7 | DELGADO Pedro | 64 |
| 11 | FONDRIEST Maurizio | 70 |
| 21 | MUJIKA Jokin | 73 |
| 27 | INDURÁIN Miguel | 76 |
| 43 | RUÉ Gérard | 74 |
| 46 | YATES Sean | 74 |
| 48 | WELTZ Johnny | 65 |
| 55 | ALONSO Marino | 70 |
| 70 | VILAMAJO Jaime | 70 |
| 73 | CAROLI Daniele | 77 |
| 83 | DOMÍNGUEZ Manuel Jorge | 67 |
| 89 | HODGE Stephen | 74 |
| 90 | MARIE Thierry | 68 |