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 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIE Thierry | 68 |
| 3 | INDURÁIN Miguel | 76 |
| 5 | FIGNON Laurent | 67 |
| 7 | KELLY Sean | 77 |
| 30 | DELGADO Pedro | 64 |
| 53 | DE ROOIJ Theo | 69 |
| 65 | FERNÁNDEZ Juan | 68 |
| 66 | VAN IMPE Lucien | 59 |
| 68 | WINNEN Peter | 60 |
| 69 | MYTNIK Tadeusz | 75 |
| 72 | MUJIKA Jokin | 73 |
| 85 | DOMÍNGUEZ Manuel Jorge | 67 |
| 90 | PLANCKAERT Eddy | 69 |
| 144 | SUKHORUCHENKOV Sergei | 72 |
| 167 | DEMOL Dirk | 72 |