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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TARLING Joshua | 78 |
| 2 | EVENEPOEL Remco | 61 |
| 3 | BISSEGGER Stefan | 78 |
| 4 | CAVAGNA Rémi | 78 |
| 5 | BJERG Mikkel | 78 |
| 6 | DE BOD Stefan | 66 |
| 7 | MUFF Frederik | 78 |
| 8 | PALENI Enzo | 65 |
| 9 | GUERNALEC Thibault | 71 |
| 10 | GEE Derek | 72 |
| 11 | SEGAERT Alec | 79 |
| 12 | DAVY Clément | 73 |
| 14 | UIJTDEBROEKS Cian | 68 |
| 16 | DE MARCHI Alessandro | 65 |
| 17 | MEGENS Brian | 65 |
| 21 | STOCKMAN Abram | 67 |