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 = -0.4 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VOCHT Wim | 78 |
| 3 | DE WEERT Kevin | 70 |
| 4 | VAN HECKE Preben | 69 |
| 5 | VAN HUMMEL Kenny | 64 |
| 10 | BONNAIRE Olivier | 67 |
| 12 | SCHEUNEMAN Niels | 75 |
| 16 | PRIAMO Matteo | 72 |
| 22 | HABEAUX Grégory | 68 |
| 29 | KLOSTERGAARD Kasper | 69 |
| 32 | DE KORT Koen | 69 |
| 36 | NEIRYNCK Kevin | 71 |