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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIMMONS Quinn | 73 |
| 2 | WÆRENSKJOLD Søren | 92 |
| 3 | VACEK Karel | 60 |
| 4 | VERMAERKE Kevin | 67 |
| 5 | WANDAHL Frederik | 61 |
| 6 | HEIDUK Kim | 70 |
| 7 | BARRÉ Louis | 68 |
| 9 | GEßNER Jakob | 72 |
| 10 | RETAILLEAU Valentin | 64 |
| 14 | BENZ Pirmin | 68 |
| 15 | GEORGE Alfred | 78 |
| 16 | MOTA Guilherme | 62 |
| 17 | MARSMAN Tim | 75 |
| 18 | CAIXAS Rodrigo | 66 |