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 = -0.3 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELAUNAY Estevan | 70 |
| 2 | VERGOUW Julian | 73 |
| 6 | DUBA Maxime | 85 |
| 8 | GOLLIKER Joshua | 67 |
| 10 | ABMA Elmar | 86 |
| 15 | BONILLA Pablo Sandino | 63 |
| 17 | WALKER Zachary | 52 |
| 18 | BALDACCI Brandon | 61 |
| 19 | VAN DER WERFF Thom | 60 |
| 26 | STONEHAM Angus | 67 |
| 28 | HUITEMA Jasper | 66 |
| 30 | PETERS Marvin | 75 |
| 37 | GRÖMMEL Rens | 70 |