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 = -0.7 * weight + 85
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 8 | EARLEY Martin | 62 |
| 12 | DELGADO Pedro | 64 |
| 14 | CAROLI Daniele | 77 |
| 17 | WINNEN Peter | 60 |
| 22 | INDURÁIN Miguel | 76 |
| 36 | BERNAUDEAU Jean-René | 64 |
| 38 | HOSTE Frank | 76 |
| 40 | FERNÁNDEZ Juan | 68 |
| 41 | MUJIKA Jokin | 73 |
| 56 | VAN IMPE Lucien | 59 |
| 61 | DOMÍNGUEZ Manuel Jorge | 67 |
| 75 | BREUKINK Erik | 70 |
| 80 | BALBOA Antonio | 66 |