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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRINDLEY Sebastian | 72 |
| 2 | LARSSON Linus | 60 |
| 3 | VANDEVORST Nio | 74 |
| 7 | SCHELDEMAN Xander | 66 |
| 10 | KRZYŚKÓW Dominik | 63 |
| 18 | BAUWENS Siebe | 71 |
| 22 | HANEGRAAF Niels | 70 |
| 34 | GOOLD Max | 59 |
| 38 | LANGBEEN Ludovic | 68 |