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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOWNSEND Rory | 73 |
| 2 | ZINGLE Axel | 67 |
| 5 | PIDCOCK Joseph | 57 |
| 7 | ŘEPA Vojtěch | 71 |
| 8 | NAUDTS Thomas | 60 |
| 9 | SCOTT Robert | 73 |
| 10 | BLOUWE Louis | 71 |
| 11 | DE VRIES Hartthijs | 66 |
| 12 | WOLF Justin | 85 |
| 14 | COQUERET Louis | 69 |
| 15 | BAX Sjoerd | 78 |
| 16 | STEDMAN Maximilian | 54 |
| 17 | RÜEGG Lukas | 66 |
| 20 | STÜSSI Colin | 68 |
| 21 | HUBY Antoine | 56 |
| 22 | BLIKRA Erlend | 75 |