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 = -0.6 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUALDI Simone | 61 |
| 2 | ØXENBERG Peter | 69 |
| 5 | VAN KERCKHOVE Matisse | 70 |
| 6 | BARHOUMI Ilian Alexandre | 73 |
| 8 | QUINTERO Juan Diego | 62 |
| 13 | RIŠKA Richard | 70 |
| 23 | BANASZAK Maciej | 64 |
| 27 | TAILLIEU Aldo | 68 |
| 39 | ZAHÁLKA Štěpán | 69 |
| 40 | NOVÁK Samuel | 63 |
| 43 | ŠUMPÍK Pavel | 63 |
| 45 | VÉLEZ Cristian Damián | 66 |
| 46 | SILYKBEK Aslan | 65 |
| 47 | GRINDLEY Sebastian | 72 |
| 48 | SKOK Marcel | 65 |