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 = -0.9 * weight + 96
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FEDOROV Yevgeniy | 80 |
| 2 | BRUSSENSKIY Gleb | 64 |
| 6 | NIYAZOV Bolat | 63 |
| 8 | ONODERA Kei | 63 |
| 9 | VOLLMER Andrew | 67 |
| 15 | NURLYKHASSYM Nurbergen | 65 |
| 16 | KROONEN Max | 79 |
| 19 | MCNEIL Aidan | 57 |
| 26 | BAAK Jord | 73 |
| 35 | HUBY Antoine | 56 |
| 44 | KAWANO Aoki | 68 |
| 60 | LI Ting Wei | 68 |
| 75 | VAN SINTMAARTENSDIJK Roel | 77 |
| 88 | ZWAAN Wouter | 57 |
| 94 | KIM Chantou | 58 |