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 + 67
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 |
| 2 | ABE Gen | 56 |
| 4 | WALTON Jonas | 68 |
| 5 | SHORT Ryland | 69 |
| 8 | LUDMAN Joshua | 66 |
| 14 | HUITEMA Jasper | 66 |
| 45 | DE SOUSA Miles | 59 |
| 53 | GALEA Alexander | 62 |
| 58 | TAKHIROV Diyor | 71 |
| 61 | OKAZAKI Kazuki | 65 |
| 63 | SESSINI Hugh | 62 |