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 = -0.7 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LECAMUS-LAMBERT Florentin | 79 |
| 2 | JOHANSEN Julius | 77 |
| 3 | LEKNESSUND Andreas | 72 |
| 4 | MÄRKL Niklas | 70 |
| 5 | VANHOOF Ward | 75 |
| 6 | ŠTOČEK Matúš | 80 |
| 8 | TABELLION Valentin | 72 |
| 12 | MEUNIER Lucas | 69 |
| 17 | CHREN Martin | 72 |
| 19 | CHZHAN Igor | 71 |
| 20 | JOHANSSON Gustav | 75 |