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 = -3.8 * weight + 293
This means that on average for every extra kilogram weight a rider loses -3.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TOFTEMARK Lucas | 73 |
| 9 | VAN DEN BRANDEN Rune | 78 |
| 12 | KONGSTAD Alfred | 75 |
| 18 | DOCKX Gilles | 61 |
| 20 | VERHAGEN Xander | 67 |
| 24 | VANHAECKE Arno | 65 |
| 30 | HEYMANS Yarno | 63 |
| 35 | BRETHOUWER Yorick | 69 |
| 45 | JURRIAANS Daan | 70 |
| 58 | VAN ZUIDAM Bas | 63 |
| 63 | VANDENABEELE Kobe | 64 |
| 69 | VAN BEURDEN Niels | 58 |
| 73 | SAUL Evar | 65 |
| 102 | BARTELET David | 62 |
| 103 | DE NEVE Hannes | 58 |