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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSCHETTI Matteo | 73 |
| 2 | BELLETTI Manuel | 72 |
| 3 | STEIMLE Jannik | 73 |
| 4 | MAŁECKI Kamil | 69 |
| 5 | VIVIANI Attilio | 69 |
| 6 | SZATMARY Andras | 71 |
| 7 | CANTÓN Isaac | 65 |
| 11 | SISR František | 72 |
| 14 | BENFATTO Marco | 71 |
| 15 | DI SANTE Antonio | 62 |
| 16 | PLANET Charles | 71 |
| 17 | BERNAS Paweł | 77 |
| 18 | MASNADA Fausto | 65 |
| 19 | VAN ENGELEN Adne | 51 |
| 20 | STALLAERT Joeri | 72 |
| 21 | PSZCZOLARSKI Wojciech | 73 |