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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUVARD Gilles | 70 |
| 2 | AUS Lauri | 75 |
| 3 | FONDRIEST Maurizio | 70 |
| 4 | VASSEUR Cédric | 70 |
| 5 | ROBIN Jean-Cyril | 63 |
| 7 | LUTTENBERGER Peter | 60 |
| 8 | JEKER Fabian | 72 |
| 9 | MAURI Melchor | 68 |
| 10 | BARTHE Stéphane | 65 |