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 = -1.9 * weight + 159
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAVIK Piotr | 73 |
| 3 | DELTOMBE Kevin | 66 |
| 5 | DECLERCQ Benjamin | 67 |
| 13 | BENOOT Tiesj | 72 |
| 14 | FARAZIJN Maxime | 73.5 |
| 15 | KOWALSKI Dylan | 67 |
| 16 | BIERMANS Jenthe | 78 |
| 29 | VERSCHUERE Seppe | 75 |
| 30 | VERMEULEN Alexey | 66 |
| 38 | LISSON Christoffer | 73 |
| 40 | ALLEGAERT Piet | 70 |
| 47 | POUILLY Félix | 66 |
| 59 | LIVYNS Arjen | 58 |
| 63 | LOWYCK Jesse | 55 |