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 = -2.8 * weight + 244
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONGSTAD Alfred | 75 |
| 3 | BRETHOUWER Yorick | 69 |
| 6 | VANDENABEELE Kobe | 64 |
| 23 | VANHAECKE Arno | 65 |
| 35 | VAN DEN BRANDEN Rune | 78 |
| 40 | JURRIAANS Daan | 70 |
| 52 | DE NEVE Hannes | 58 |
| 53 | VAN ZUIDAM Bas | 63 |
| 78 | VERHAGEN Xander | 67 |
| 79 | HEYMANS Yarno | 63 |
| 89 | SAUL Evar | 65 |
| 90 | DOCKX Gilles | 61 |
| 102 | TOFTEMARK Lucas | 73 |
| 105 | BARTELET David | 62 |
| 114 | VAN BEURDEN Niels | 58 |