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 + 28
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STUBBE Tom | 66 |
| 2 | PAUMIER Laurent | 57 |
| 4 | TALABARDON Yannick | 67 |
| 7 | AUGER Ludovic | 78 |
| 9 | HELMINEN Matti | 74 |
| 12 | MCLEOD Ian | 66 |
| 15 | NIBALI Vincenzo | 65 |
| 21 | PAUWELS Serge | 65 |
| 22 | HABEAUX Grégory | 68 |
| 24 | ASCANI Luca | 75 |
| 39 | BOOM Lars | 75 |
| 41 | STAMSNIJDER Tom | 76 |
| 45 | SURAY Gil | 67 |
| 50 | KOHL Bernhard | 61 |
| 55 | VANENDERT Jelle | 62 |