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 | KOOIJ Olav | 72 |
| 2 | REYNDERS Jens | 76 |
| 3 | VIVIANI Elia | 67 |
| 4 | WALLS Matthew | 72 |
| 5 | BARBIER Rudy | 79 |
| 6 | DINA Márton | 67 |
| 7 | MOSCHETTI Matteo | 73 |
| 8 | FILUTÁS Viktor | 68 |
| 9 | KANTER Max | 68 |
| 10 | GROENEWEGEN Dylan | 70 |
| 11 | WEEMAES Sasha | 73 |
| 12 | ROSSKOPF Joey | 74 |
| 13 | MAYRHOFER Marius | 70 |
| 14 | VAN POUCKE Aaron | 68 |
| 15 | DE KLEIJN Arvid | 68 |