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 + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FÉDRIGO Pierrick | 66 |
| 3 | HULSMANS Kevin | 75 |
| 4 | BRANDT Christophe | 66 |
| 5 | FRITSCH Nicolas | 65 |
| 10 | KLEYNEN Steven | 72 |
| 16 | VERSTRAETEN Jan | 65 |
| 20 | VANLANDSCHOOT James | 67 |
| 21 | SCHEIRLINCKX Staf | 78 |
| 22 | COMMEYNE Davy | 70 |
| 26 | VAN HUFFEL Wim | 66 |
| 34 | COENEN Johan | 67 |
| 37 | DE SCHROODER Benny | 61 |
| 41 | CAPPELLE Andy | 71 |
| 42 | AMORISON Frédéric | 70 |