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 = 0.5 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOETE Daan | 72 |
| 2 | ALLEGAERT Piet | 70 |
| 3 | HERMANS Quinten | 62 |
| 4 | BELKOV Maxim | 71 |
| 5 | DE PLUS Laurens | 67 |
| 6 | KREDER Wesley | 71 |
| 7 | VAN HECKE Preben | 69 |
| 8 | OOSTRA Folkert | 68 |
| 9 | VAN DEN BRAND Twan | 71 |
| 10 | GONÇALVES José | 70 |
| 11 | WARNIER Antoine | 71 |
| 12 | MCNALLY Mark | 72 |
| 13 | KIRSCH Alex | 78 |