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 = -0.4 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOGUSŁAWSKI Marceli | 77 |
| 2 | MARSMAN Tim | 75 |
| 4 | FOX Matthew | 71 |
| 7 | GEORGE Alfred | 78 |
| 8 | LARSEN Niklas | 74 |
| 10 | KERCKHAERT Jochem | 59 |
| 11 | ARVANITOU Nikiforos | 71 |
| 14 | SANLAVILLE Mathias | 61 |
| 16 | STEVANT Malo | 65 |
| 22 | HEREMANS Joppe | 67 |
| 25 | WEULINK Meindert | 62 |
| 28 | KESS Alexandre | 70 |
| 31 | VOLTR Martin | 75 |
| 32 | KUKRLE Michael | 73 |