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 + 64
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER MEULEN Max | 67 |
| 7 | LUDMAN Joshua | 66 |
| 8 | WALTON Jonas | 68 |
| 17 | GALEA Alexander | 62 |
| 18 | HUITEMA Jasper | 66 |
| 23 | SESSINI Hugh | 62 |
| 33 | OKAZAKI Kazuki | 65 |
| 38 | DE SOUSA Miles | 59 |
| 55 | SHORT Ryland | 69 |