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 + 74
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BEUKEBOOM Dion | 88 |
| 8 | DUPONT Timothy | 72 |
| 12 | CLAIN Médéric | 59 |
| 18 | PÉRICHON Pierre-Luc | 69 |
| 30 | MALDONADO Anthony | 57 |
| 38 | ABE Takayuki | 66 |
| 51 | LAMOISSON Morgan | 69 |
| 56 | STEELS Stijn | 78 |
| 60 | NAULEAU Bryan | 67 |
| 61 | SOLOMENNIKOV Andrei | 72 |
| 69 | DE NEEF Steven | 75 |
| 70 | HATANAKA Yusuke | 72 |
| 74 | WIELINGA Remmert | 68 |
| 82 | SUZUKI Yuzuru | 57 |
| 100 | BENČÍK Petr | 73 |