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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AUGER Ludovic | 78 |
| 3 | TALABARDON Yannick | 67 |
| 4 | BOOM Lars | 75 |
| 5 | PAUMIER Laurent | 57 |
| 6 | MCLEOD Ian | 66 |
| 10 | STAMSNIJDER Tom | 76 |
| 12 | PAUWELS Serge | 65 |
| 17 | YATES Jeremy | 73 |
| 21 | DE MAAR Marc | 70 |
| 25 | HABEAUX Grégory | 68 |
| 28 | STUBBE Tom | 66 |