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 = -0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOOLE Daan | 81 |
| 2 | VAN BAARLE Dylan | 78 |
| 4 | ARTZ Huub | 71 |
| 6 | VAN DIJKE Tim | 74 |
| 7 | BAX Sjoerd | 78 |
| 8 | REINDERINK Pepijn | 67 |
| 9 | KRIJNSEN Jelte | 73 |
| 11 | VLIEK Mike | 67 |
| 13 | MEGENS Brian | 65 |
| 15 | EEKHOFF Nils | 75 |
| 17 | MOLLEMA Bauke | 64 |
| 18 | VELING Quinten | 81 |
| 20 | SEVERIJN Thom | 85 |
| 21 | DE VRIES Hartthijs | 66 |
| 25 | MAAS Marijn | 70 |
| 28 | DE BRUIN Tjalle | 64 |
| 31 | ARTS Tim | 78 |