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 = -1.2 * weight + 101
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIENDYŚ Tomasz | 78 |
| 2 | LAHSAINI Mouhssine | 77 |
| 4 | CAPELLE Ludovic | 75 |
| 6 | KIRSIPUU Jaan | 80 |
| 8 | MATYSIAK Bartłomiej | 71 |
| 11 | TAMOURIDIS Ioannis | 70 |
| 15 | SAGAN Juraj | 65 |
| 18 | JELLOUL Adil | 58 |
| 22 | BELGASEM Ahmed Youssef | 68 |
| 24 | HASANIN Omar | 75 |
| 29 | HONKISZ Adrian | 61 |
| 34 | CHAOUFI Tarik | 65 |
| 36 | KÜÇÜKBAY Kemal | 70 |
| 46 | BODNAR Łukasz | 68 |