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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MALDONADO Anthony | 57 |
| 4 | VAN DER POEL Mathieu | 75 |
| 5 | BUDDING Martijn | 74 |
| 6 | LE GAC Olivier | 70 |
| 7 | HOFSTETTER Hugo | 66 |
| 9 | KOCH Jonas | 75 |
| 10 | GUERIN Alexis | 64 |
| 11 | PEYSKENS Dimitri | 69 |
| 13 | MCLAY Daniel | 72 |
| 14 | SPOKES Samuel | 63 |