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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TALABARDON Yannick | 67 |
| 2 | PAUMIER Laurent | 57 |
| 6 | FUKUSHIMA Shinichi | 62 |
| 8 | AUGER Ludovic | 78 |
| 9 | ROCHE Nicolas | 70 |
| 10 | SCHWAB Hubert | 65 |
| 13 | DIETZIKER Andreas | 67 |
| 18 | BOURGEOIS Guillaume | 61 |
| 20 | STALDER Florian | 58 |
| 33 | MORABITO Steve | 74 |
| 34 | SHIMIZU Miyataka | 60 |
| 36 | EL FARES Julien | 62 |