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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LECAMUS-LAMBERT Florentin | 79 |
| 2 | LEKNESSUND Andreas | 72 |
| 4 | HUENS Rémi | 74 |
| 5 | CHZHAN Igor | 71 |
| 7 | WÆRENSKJOLD Søren | 92 |
| 8 | MÄRKL Niklas | 70 |
| 10 | GRONDIN Donavan | 77 |
| 11 | RENARD Alexis | 74 |
| 16 | TABELLION Valentin | 72 |
| 17 | WACKER Ludvig Anton | 68 |
| 18 | FEDOROV Yevgeniy | 80 |