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 = 2.8 * weight - 150
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KELLY Sean | 77 |
| 7 | FIGNON Laurent | 67 |
| 10 | DELGADO Pedro | 64 |
| 11 | VAN IMPE Lucien | 59 |
| 15 | WINNEN Peter | 60 |
| 70 | SUKHORUCHENKOV Sergei | 72 |
| 75 | DOMÍNGUEZ Manuel Jorge | 67 |
| 76 | MUJIKA Jokin | 73 |
| 89 | DE ROOIJ Theo | 69 |
| 92 | INDURÁIN Miguel | 76 |