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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HEESWIJK Max | 73 |
| 2 | DE JONGH Steven | 76 |
| 3 | ZANOTTI Marco | 70 |
| 6 | ZABEL Erik | 69 |
| 7 | THIJS Erwin | 69 |
| 8 | MORI Manuele | 62 |
| 9 | HASELBACHER René | 69 |
| 10 | MURN Uroš | 70 |
| 11 | VIERHOUTEN Aart | 71 |
| 12 | DAVIS Allan | 73 |
| 13 | VERBRUGGHE Rik | 70 |