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 = -0.5 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOURIS Jens | 91 |
| 2 | ROOIJAKKERS Piet | 68 |
| 8 | SCHEP Peter | 80 |
| 12 | VAN LEIJEN Joost | 73 |
| 14 | HONIG Reinier | 61 |
| 15 | LANGEVELD Sebastian | 67 |
| 23 | REID Robin | 62 |
| 28 | STAM Danny | 64 |
| 31 | DUIJN Huub | 73 |
| 32 | MØRKØV Michael | 71 |
| 47 | DE JONGE Maarten | 65 |
| 69 | TIMMER Albert | 77 |
| 86 | VAN GROEN Arnoud | 69 |