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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUGTER Luuc | 81 |
| 3 | LARSEN Niklas | 74 |
| 6 | RENARD Alexis | 74 |
| 8 | GATE Aaron | 71 |
| 9 | URRUTY Maxime | 59 |
| 10 | THIJSSEN Gerben | 74 |
| 13 | EINHORN Itamar | 72 |
| 15 | BUDDING Martijn | 74 |
| 17 | PATERSKI Maciej | 73 |
| 18 | SYKALA Wojciech | 72 |
| 19 | BLIKRA Erlend | 75 |
| 21 | LUNDER Eirik | 78 |
| 22 | GRIGNARD Sébastien | 68 |