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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN HUMMEL Kenny | 64 |
| 3 | DE KORT Koen | 69 |
| 4 | CLEMENT Stef | 66 |
| 5 | GILING Bas | 72 |
| 6 | ELIJZEN Michiel | 80 |
| 9 | SCHEUNEMAN Niels | 75 |
| 15 | MAASKANT Martijn | 76 |
| 16 | HEIJBOER Mathieu | 78 |
| 17 | HONIG Reinier | 61 |
| 24 | MOL Wouter | 83 |
| 27 | HOOGERLAND Johnny | 65 |